Triple

T6841681
Position Surface form Disambiguated ID Type / Status
Subject Jewish federations E157787 entity
Predicate alsoServe P6337 FINISHED
Object broader local population in some programs 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: broader local population in some programs | Statement: [Jewish federations, alsoServe, broader local population in some programs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alsoServe
Context triple: [Jewish federations, alsoServe, broader local population in some programs]
  • A. alsoServes chosen
    Indicates that an entity, in addition to its primary role or function, provides service or support to another specified entity or group.
  • B. alsoServedBy
    Indicates that the same service, function, or role is additionally provided or fulfilled by another entity alongside the primary one.
  • C. alsoServesAs
    Indicates that one entity has an additional role, function, or identity that it fulfills simultaneously with its primary one.
  • D. mayServe
    Indicates that one entity is permitted or authorized to provide a service or function to another entity.
  • E. intendedToServe
    Indicates that one entity was designed, planned, or purposed specifically to benefit, assist, or fulfill the needs of another 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b5f7648190ad8561caeb678932 completed March 27, 2026, 7:12 p.m.
PD Predicate disambiguation batch_69c6d09f90648190bc0a462c7d59de1b completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:19 p.m.