Triple

T12386083
Position Surface form Disambiguated ID Type / Status
Subject Kolkata Metropolitan Area E295867 entity
Predicate containsCity P294 FINISHED
Object Bhatpara E188178 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: Bhatpara | Statement: [Kolkata Metropolitan Area, containsCity, Bhatpara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhatpara
Context triple: [Kolkata Metropolitan Area, containsCity, Bhatpara]
  • A. Bhatpara chosen
    Bhatpara is an industrial and residential town in the North 24 Parganas district of West Bengal, India, known for its jute mills and dense urban population along the Hooghly River.
  • B. Dharangaon
    Dharangaon is a town in the Jalgaon district of Maharashtra, India, known for its agricultural surroundings and role as a local commercial center.
  • C. Bhatapara
    Bhatapara is a regional dialect of the Chhattisgarhi language spoken in and around the town of Bhatapara in the Indian state of Chhattisgarh.
  • D. Kumarghat
    Kumarghat is a town in the Indian state of Tripura, known as a local commercial and transport hub in the Unakoti district.
  • E. Chilahati
    Chilahati is a town in northern Bangladesh known for its railway station that serves as a key border transit point on the rail link between Bangladesh and India.
  • 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_69f6347816408190904ea71d2a72398f completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.