Triple

T2024735
Position Surface form Disambiguated ID Type / Status
Subject San Francisco Platform (1976) E44181 entity
Predicate viewOnEquality P4722 FINISHED
Object supports equality for women and men in Jewish life 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: supports equality for women and men in Jewish life | Statement: [San Francisco Platform (1976), viewOnEquality, supports equality for women and men in Jewish life]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewOnEquality
Context triple: [San Francisco Platform (1976), viewOnEquality, supports equality for women and men in Jewish life]
  • A. viewOnObject
    Indicates that one entity directs its visual attention toward or observes another entity as an object of viewing.
  • B. viewOnState chosen
    Indicates that one entity holds or expresses a particular opinion, stance, or perspective regarding a specific state or condition.
  • C. viewOnSelf
    Indicates a perspective where an entity directs its view, evaluation, or consideration toward itself.
  • D. viewOnObjects
    Indicates a relationship where an entity directs its view or visual attention toward one or more objects.
  • E. viewOnCausality
    Indicates a relationship where an entity expresses or embodies a particular perspective or stance on the nature of causality.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8f2cd5c8190b19da6f6aa2001d6 completed March 7, 2026, 5:34 a.m.
PD Predicate disambiguation batch_69abb7a656248190ac2ced196b35bc6b completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:38 p.m.