Triple
T16659101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandannagar subdivision |
E404810
|
entity |
| Predicate | hasUrbanAreas |
P11388
|
FINISHED |
| Object | Bhadreswar |
E636333
|
NE FINISHED |
How this triple was built (2 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: Bhadreswar | Statement: [Chandannagar subdivision, hasUrbanAreas, Bhadreswar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhadreswar Context triple: [Chandannagar subdivision, hasUrbanAreas, Bhadreswar]
-
A.
Bhadreswar
chosen
Bhadreswar is a town in the Indian state of West Bengal, known for its location along the Hooghly River and its historical jute mills and industrial heritage.
-
B.
Tarakeswar
Tarakeswar is a pilgrimage town in India renowned for its historic Shiva temple and religious significance in the Hooghly district of West Bengal.
-
C.
Baidyabati
Baidyabati is a suburban city in West Bengal, India, that forms part of the greater Kolkata urban agglomeration.
-
D.
Illambazar
Illambazar is a town and administrative unit in the Birbhum district of West Bengal, India, known historically as a trading center and for its cultural and rural surroundings.
-
E.
Bhatkuli
Bhatkuli is a small town in the Amravati district of Maharashtra, India, known primarily as a local administrative and market center for surrounding rural areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bfcbb6881909c0419174dd017dc |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084ce7cf0819091e7a4de2cc010ea |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.