Triple

T32024467
Position Surface form Disambiguated ID Type / Status
Subject Chepauk–Thiruvallikeni Assembly constituency E817780 entity
Predicate hasPrimaryReligionInArea P150548 FINISHED
Object Hinduism 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: Hinduism | Statement: [Chepauk–Thiruvallikeni Assembly constituency, hasPrimaryReligionInArea, Hinduism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimaryReligionInArea
Context triple: [Chepauk–Thiruvallikeni Assembly constituency, hasPrimaryReligionInArea, Hinduism]
  • A. isMajorReligionIn chosen
    Indicates that a religion is one of the primary or most widely practiced religions within a specified region or country.
  • B. religionSignificantMinorityRegion
    Indicates that a particular religion constitutes a significant minority presence within a specified geographic region.
  • C. hasPrimaryReligionComplex
    Indicates that an entity is primarily associated with, practices, or is characterized by a particular religion or religious complex.
  • D. majorityReligionInUrbanAreas
    Indicates that a specified religion is the predominant or most widely practiced faith within the urban areas of a given region or population.
  • E. hasAssociatedReligion
    Indicates that an entity is connected with or linked to a particular religion.
  • 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_69f348fb04e4819081f4eab040ed7959 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a00a22e32f481909b6006c5b1cdefd3 completed May 10, 2026, 3:20 p.m.
PD Predicate disambiguation batch_6a00a1bd9c908190b4aa17a61f48126f completed May 10, 2026, 3:18 p.m.
Created at: May 1, 2026, 12:17 a.m.