Triple

T7015117
Position Surface form Disambiguated ID Type / Status
Subject Kulti E162681 entity
Predicate locatedIn P40 FINISHED
Object Asansol region 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 region | Statement: [Kulti, locatedIn, Asansol region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asansol region
Context triple: [Kulti, locatedIn, Asansol region]
  • 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. Bardhaman district
    Bardhaman district is a historically significant administrative region in the Indian state of West Bengal, known for its rich cultural heritage, agriculture, and coal-based industrial development.
  • D. Hooghly district
    Hooghly district is an administrative district in the Indian state of West Bengal, known for its historical towns, industrial hubs, and location along the Hooghly River.
  • E. Purulia
    Purulia is a town in eastern India known as the administrative headquarters of Purulia district and for its distinctive Chhau dance and scenic, hilly landscape.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1d31edc8190931655616d0739d1 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a53e96081909dfe21a80b20f80d completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:34 p.m.