Triple
T9770754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hailakandi district |
E237116
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Hailakandi
Hailakandi is a town in the Indian state of Assam that serves as the administrative headquarters of Hailakandi district.
|
E237116
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hailakandi | Statement: [Hailakandi district, hasCity, Hailakandi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hailakandi Context triple: [Hailakandi district, hasCity, Hailakandi]
-
A.
Cooch Behar
Cooch Behar is a historic town in northeastern India known for its royal palaces, planned layout, and cultural heritage as a former princely state.
-
B.
Hailakandi district
Hailakandi district is an administrative district in the Indian state of Assam, located in the Barak Valley region and known for its tea gardens and diverse cultural communities.
-
C.
Tripura
Tripura is a small, hilly state in northeastern India known for its diverse tribal cultures, historical palaces, and dense forests.
-
D.
Meghalaya
Meghalaya is a hilly state in northeastern India known for its heavy rainfall, lush forests, and diverse indigenous cultures.
-
E.
Assam
Assam is a northeastern region of the Indian subcontinent known for its tea plantations, rich biodiversity, and distinct cultural heritage.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hailakandi Triple: [Hailakandi district, hasCity, Hailakandi]
Generated description
Hailakandi is a town in the Indian state of Assam that serves as the administrative headquarters of Hailakandi district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hailakandi Target entity description: Hailakandi is a town in the Indian state of Assam that serves as the administrative headquarters of Hailakandi district.
-
A.
Cooch Behar
Cooch Behar is a historic town in northeastern India known for its royal palaces, planned layout, and cultural heritage as a former princely state.
-
B.
Hailakandi district
chosen
Hailakandi district is an administrative district in the Indian state of Assam, located in the Barak Valley region and known for its tea gardens and diverse cultural communities.
-
C.
Tripura
Tripura is a small, hilly state in northeastern India known for its diverse tribal cultures, historical palaces, and dense forests.
-
D.
Meghalaya
Meghalaya is a hilly state in northeastern India known for its heavy rainfall, lush forests, and diverse indigenous cultures.
-
E.
Assam
Assam is a northeastern region of the Indian subcontinent known for its tea plantations, rich biodiversity, and distinct cultural heritage.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0f1dea08190b89bcc192b068c66 |
completed | April 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc4950f48190be84bb57f7f453ef |
completed | April 5, 2026, 2:43 a.m. |
| NEDg | Description generation | batch_69d1cce3d9d481909eaf7278dfe20955 |
completed | April 5, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1cd5d1670819085c58ff8889318af |
completed | April 5, 2026, 2:47 a.m. |
Created at: March 30, 2026, 8:26 p.m.