Triple

T12386081
Position Surface form Disambiguated ID Type / Status
Subject Kolkata Metropolitan Area E295867 entity
Predicate containsCity P294 FINISHED
Object North Dum Dum E637630 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: North Dum Dum | Statement: [Kolkata Metropolitan Area, containsCity, North Dum Dum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Dum Dum
Context triple: [Kolkata Metropolitan Area, containsCity, North Dum Dum]
  • A. North Dum Dum chosen
    North Dum Dum is a suburban city in the North 24 Parganas district of West Bengal, India, forming part of the Kolkata Metropolitan Area.
  • B. South Dum Dum
    South Dum Dum is a suburban town in the North 24 Parganas district near Kolkata in the Indian state of West Bengal.
  • C. Dromara Hills
    Dromara Hills is a range of rolling upland hills in County Down, Northern Ireland, known for their scenic landscapes and panoramic views over the surrounding countryside.
  • D. Barsha Heights
    Barsha Heights is a mixed-use neighborhood in Dubai known for its residential towers, hotels, and proximity to major business districts and transport links.
  • E. Kamarhati
    Kamarhati is an industrial and residential city in the northern suburbs of Kolkata, West Bengal, 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.