Triple

T7164728
Position Surface form Disambiguated ID Type / Status
Subject Thiruchendur E167036 entity
Predicate locatedInSubnational P35846 FINISHED
Object southern India LITERAL 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: southern India | Statement: [Thiruchendur, locatedInSubnational, southern India]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInSubnational
Context triple: [Thiruchendur, locatedInSubnational, southern India]
  • A. locatedInSubnationalEntity chosen
    Indicates that one entity is geographically or administratively situated within a specific subnational division, such as a state, province, or region.
  • B. hasSubnationalCounterpart
    Indicates that an entity has a corresponding or equivalent entity at a lower (subnational) administrative level.
  • C. meetsInCountrySubdivision
    Indicates that two or more entities meet or have a meeting within a specific administrative subdivision of a country (such as a state, province, or region).
  • D. hasHighestLevelSubdivisionOf
    Indicates that one entity is the topmost or primary first-level administrative or territorial subdivision of another entity.
  • E. betweenSubnationalUnits
    Indicates a relationship that occurs or holds between two or more subnational administrative units (such as states, provinces, or regions) within a country.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e83168a08190937ff46797d94f3e completed March 27, 2026, 8:27 p.m.
PD Predicate disambiguation batch_69c6e1cd5c948190a9113b23f7308c21 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:47 p.m.