Triple

T6541383
Position Surface form Disambiguated ID Type / Status
Subject Halisahar E168295 entity
Predicate locatedNear P294 FINISHED
Object Kanchrapara E186001 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: Kanchrapara | Statement: [Halisahar, locatedNear, Kanchrapara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanchrapara
Context triple: [Halisahar, locatedNear, Kanchrapara]
  • A. Kanchrapara chosen
    Kanchrapara is a town in the North 24 Parganas district of West Bengal, India, known historically for its railway workshop and suburban connectivity to Kolkata.
  • B. Bhatapara
    Bhatapara is a regional dialect of the Chhattisgarhi language spoken in and around the town of Bhatapara in the Indian state of Chhattisgarh.
  • C. Nalhati
    Nalhati is a town in the Birbhum district of West Bengal, India, known for its religious significance and regional marketplace.
  • D. Parbhani
    Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational center.
  • E. Khandala
    Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add7369c8190919cd7c07012a994 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eed36a7081909cb70b79f18b0dfc completed March 27, 2026, 8:55 p.m.
Created at: March 27, 2026, 1:50 p.m.