Triple
T7862261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rishra |
E182526
|
entity |
| Predicate | hasRailConnectivityWith |
P58937
|
FINISHED |
| Object | Bardhaman |
E127022
|
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: Bardhaman | Statement: [Rishra, hasRailConnectivityWith, Bardhaman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bardhaman Context triple: [Rishra, hasRailConnectivityWith, Bardhaman]
-
A.
Burdwan
chosen
Burdwan is a historic city in the Indian state of West Bengal, known for its cultural heritage, educational institutions, and former status as a major administrative and commercial center.
-
B.
Malda
Malda is a town in eastern India known as a commercial hub and historic gateway to the northern districts of West Bengal.
-
C.
Kharagpur
Kharagpur is an industrial city in eastern India best known for hosting the first campus of the Indian Institute of Technology (IIT Kharagpur) and one of the country’s longest railway platforms.
-
D.
Santipur
Santipur is a historic town in West Bengal, India, renowned for its traditional handloom sarees and cultural heritage.
-
E.
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.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb36be5f408190b82a097b0825c57a |
completed | March 31, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbdbcede08190af889a5228de01f5 |
completed | April 1, 2026, 6:39 a.m. |
Created at: March 30, 2026, 4:53 p.m.