Triple

T29078997
Position Surface form Disambiguated ID Type / Status
Subject Miss Israel 2004 E733920 entity
Predicate winnerReligion P25219 FINISHED
Object Judaism 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: Judaism | Statement: [Miss Israel 2004, winnerReligion, Judaism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: winnerReligion
Context triple: [Miss Israel 2004, winnerReligion, Judaism]
  • A. majorReligionCanBe
    Indicates that an entity can have a particular major religion as one of its possible primary religious affiliations.
  • B. promotedReligion
    Indicates that an entity actively supported, advocated for, or worked to spread a particular religion.
  • C. bearerReligion chosen
    Indicates that a bearer (such as a person or entity) adheres to, practices, or is associated with a particular religion.
  • D. officialReligion
    Indicates that a particular religion is formally recognized and designated as the official or state religion of an entity (such as a country or region).
  • E. laterReligion
    Indicates that one religion or religious affiliation chronologically follows or replaces another for the same entity.
  • 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_69f05b0c0f28819086eae6e84f2ae472 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f6f8565134819096aac0175f924a9f completed May 3, 2026, 7:25 a.m.
PD Predicate disambiguation batch_69f6f65fd1d08190b88e5e68ba268500 completed May 3, 2026, 7:16 a.m.
Created at: April 28, 2026, 10:52 a.m.