Triple

T27564757
Position Surface form Disambiguated ID Type / Status
Subject Bengal Intelligent Park E695866 entity
Predicate locatedInPlannedTownship P82773 FINISHED
Object Bidhannagar NE NERFINISHED

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: Bidhannagar | Statement: [Bengal Intelligent Park, locatedInPlannedTownship, Bidhannagar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInPlannedTownship
Context triple: [Bengal Intelligent Park, locatedInPlannedTownship, Bidhannagar]
  • A. locatedInPlannedTown chosen
    Indicates that an entity is situated within the boundaries of a town that has been deliberately planned or designed rather than having developed organically.
  • B. locatedInPlannedCity
    Indicates that something is situated within the boundaries of a city that was deliberately designed and planned rather than having developed organically.
  • C. isPlannedCommunity
    Indicates that a community has been intentionally designed and developed according to a coordinated plan rather than growing organically.
  • D. locatedInUrbanGrowthBoundary
    Indicates that the entity is situated within a designated urban growth boundary area where development is planned or managed.
  • E. townPlannedWith
    Indicates that a town was designed, organized, or laid out in coordination with a particular plan, entity, or planning effort.
  • F. None of above.

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_69ef53891af88190a193c5e2a1dac9b1 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69ff0491409c8190be40f633a58da0b1 completed May 9, 2026, 9:55 a.m.
PD Predicate disambiguation batch_69ff040bb5cc81909534c7eee85d5e90 completed May 9, 2026, 9:53 a.m.
Created at: April 27, 2026, 1:41 p.m.