Triple
T7364846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durgapur-Asansol industrial belt |
E169843
|
entity |
| Predicate | hasUrbanCenter |
P2106
|
FINISHED |
| Object | Asansol |
E167887
|
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: Asansol | Statement: [Durgapur-Asansol industrial belt, hasUrbanCenter, Asansol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asansol Context triple: [Durgapur-Asansol industrial belt, hasUrbanCenter, Asansol]
-
A.
Asansol
chosen
Asansol is a major industrial and coal-mining city in eastern India, known as one of the largest urban centers in the state of West Bengal.
-
B.
Durgapur
Durgapur is a major industrial city in eastern India known for its steel plants and planned urban infrastructure.
-
C.
Barasat
Barasat is a suburban city in the North 24 Parganas district of West Bengal, India, forming part of the Kolkata metropolitan area and serving as an important residential and commercial hub.
-
D.
Baranagar
Baranagar is a densely populated suburban city in the northern part of Kolkata, India, known for its industrial areas, educational institutions, and cultural heritage.
-
E.
Malda
Malda is a town in eastern India known as a commercial hub and historic gateway to the northern districts of West Bengal.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f161d76081909da6d698fb3d8bb1 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c925264798819096e154ffa23ddfae |
completed | March 29, 2026, 1:12 p.m. |
Created at: March 27, 2026, 3:06 p.m.