Triple

T5758182
Position Surface form Disambiguated ID Type / Status
Subject Burdwan E127022 entity
Predicate alternativeName P39 FINISHED
Object Burdwan City 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: Burdwan City | Statement: [Burdwan, alternativeName, Burdwan City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burdwan City
Context triple: [Burdwan, alternativeName, Burdwan City]
  • 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. Durgapur
    Durgapur is a major industrial city in eastern India known for its steel plants and planned urban infrastructure.
  • C. Chandannagar
    Chandannagar is a former French colonial town in West Bengal, India, known for its historic riverside architecture and cultural blend of French and Bengali influences.
  • D. 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.
  • E. Dinapur
    Dinapur is a town in the Patna district of Bihar, India, known historically as a British cantonment and now as a suburban area of Patna.
  • 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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029363c988190b12f3f7b68295748 completed March 22, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a16b9eac8190a3760557e2aebb45 completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:49 p.m.