Triple

T38018738
Position Surface form Disambiguated ID Type / Status
Subject Gaya E948564 entity
Predicate isMajorUrbanCentreIn P9892 FINISHED
Object Bihar 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: Bihar | Statement: [Gaya, isMajorUrbanCentreIn, Bihar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isMajorUrbanCentreIn
Context triple: [Gaya, isMajorUrbanCentreIn, Bihar]
  • A. isMajorCityIn chosen
    Indicates that a city is a primary or significant urban center located within a specified larger region or country.
  • B. isUrbanCentreFor
    Indicates that one place functions as the primary urban hub or central city serving another area or population.
  • C. nearestLargeUrbanArea
    Indicates that one entity is the closest major city or large urban center to the other entity.
  • D. isMetropolitanOf
    Indicates that one entity is the primary metropolitan area or major urban center associated with another entity, such as a region, country, or administrative division.
  • E. isAdministrativeCenterIn
    Indicates that an entity serves as the main administrative or governmental center located within a specified larger area or jurisdiction.
  • 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_69f76efc10448190aff5fb566b98f952 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fe920a437081908d5174e8cf7a53a6 completed May 9, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69fe919a9a6c8190acb4483f386e6db7 completed May 9, 2026, 1:44 a.m.
Created at: May 3, 2026, 4:20 p.m.