Function build_prompt

Boundary_Predictor/annotator.py:86–126

Construct prompt: Request the model to extract all transitional, tonal, and filler phrases without substantial reasoning content, return a JSON array in original text order, with each element being a verbatim copy of the string.

(think_text: str)

def build_prompt(think_text: str) -> str:
    """
    Construct prompt: Request the model to extract all transitional, tonal, and filler phrases without substantial reasoning content,
    return a JSON array in original text order, with each element being a verbatim copy of the string.
    """
    return f"""You are a text analysis expert.

Task:
Extract all spans of text that are **transitional, filler, or tone-setting phrases** 

---

### What to extract
Include phrases or sentences that:
- Express hesitation, tone, or attitude (e.g., "well", "okay", "so", "let’s see", "I think")
- Indicate transition or setup (e.g., "to begin with", "in this case", "for example", "but if")
- Serve as narration or connection, not analysis

Do **not** include:
- Actual reasoning, deduction, or explanation
- Code or formula descriptions
- Problem-solving steps

---

### Output format (STRICT JSON)
Return a JSON array of strings, e.g.:

["<span 1>", "<span 2>", ...]

Rules:
1. Each span must be **copied verbatim** from the original text.
2. Preserve order of appearance.
3. If there are none, return an **empty list**: `[]`
4. Output **only** the JSON array — no explanation or extra text.

---
<input_text>
{think_text}
</input_text>
"""