Triple

T12386102
Position Surface form Disambiguated ID Type / Status
Subject Kolkata Metropolitan Area E295867 entity
Predicate containsCity P294 FINISHED
Object Konnagar E636332 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: Konnagar | Statement: [Kolkata Metropolitan Area, containsCity, Konnagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konnagar
Context triple: [Kolkata Metropolitan Area, containsCity, Konnagar]
  • A. Konnagar chosen
    Konnagar is a suburban town in West Bengal, India, situated along the Hooghly River and known as part of the Kolkata metropolitan area.
  • B. Kolkata Cantonment
    Kolkata Cantonment is a major military cantonment area in Kolkata, India, housing key army installations and administrative facilities.
  • C. Ballygunge
    Ballygunge is an upscale residential and commercial neighborhood in South Kolkata, India, known for its educational institutions, cultural landmarks, and affluent urban character.
  • D. Jadavpur, Kolkata
    Jadavpur, Kolkata is a prominent residential and educational neighborhood in south Kolkata, India, known for housing major institutions such as Jadavpur University.
  • E. Dispur
    Dispur is a locality in Guwahati that serves as the administrative and political center of the Indian state of Assam.
  • 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_69f65ea28b508190a2467b9af195e4ed completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:54 p.m.