Triple

T32177584
Position Surface form Disambiguated ID Type / Status
Subject TN-01 E821895 entity
Predicate locatedInStateTransportDepartment P199759 FINISHED
Object Tamil Nadu Transport Department E236543 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: Tamil Nadu Transport Department | Statement: [TN-01, locatedInStateTransportDepartment, Tamil Nadu Transport Department]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInStateTransportDepartment
Context triple: [TN-01, locatedInStateTransportDepartment, Tamil Nadu Transport Department]
  • A. stateAgencyOf
    Indicates that one entity is a governmental agency that operates under the authority or jurisdiction of a particular state.
  • B. locatedInStateOrRegion
    Indicates that one entity is geographically situated within the boundaries of a specified state or region.
  • C. regionalLocationWithinState
    Indicates that one region is geographically located within the boundaries of a specific state.
  • D. provinceAgency
    Indicates that one entity functions as an official agency or administrative body operating at the provincial level in relation to another entity.
  • E. hasHighwayDepartment chosen
    Indicates that an entity is served by, administered by, or associated with a specific highway department responsible for road and highway management.
  • F. None of above.

Provenance (4 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_69f3490755288190aee11740a34862f9 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a02206665508190ae2324d253ccf377 completed May 11, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2f0be0fbe88190a1f34d8f161ca607 completed June 14, 2026, 8:15 p.m.
PD Predicate disambiguation batch_6a021fdc6e54819082847bedd97a680b completed May 11, 2026, 6:28 p.m.
Created at: May 1, 2026, 12:34 a.m.