Triple

T12386107
Position Surface form Disambiguated ID Type / Status
Subject Kolkata Metropolitan Area E295867 entity
Predicate containsCity P294 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: [Kolkata Metropolitan Area, containsCity, Bhadreswar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhadreswar
Context triple: [Kolkata Metropolitan Area, containsCity, 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbd489c819098233a111442762e completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ea28b508190a2467b9af195e4ed completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:54 p.m.