Triple

T402912
Position Surface form Disambiguated ID Type / Status
Subject Ethiopian Jews E9322 entity
Predicate religiousInstitutionInIsrael P1191 FINISHED
Object Ethiopian synagogues 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: Ethiopian synagogues | Statement: [Ethiopian Jews, religiousInstitutionInIsrael, Ethiopian synagogues]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousInstitutionInIsrael
Context triple: [Ethiopian Jews, religiousInstitutionInIsrael, Ethiopian synagogues]
  • A. religiousBranchOf
    Indicates that one religion, denomination, or sect is a subdivision or offshoot of a larger parent religious tradition.
  • B. hasPlaceOfWorship chosen
    Indicates that an entity possesses, contains, or is associated with a designated location used for religious or spiritual worship.
  • C. religiousFunction
    Indicates that one entity serves a religious role, purpose, or function in relation to another entity.
  • D. religiousGroupsPresent
    Indicates that one or more religious groups are present or represented in a given context, location, or situation.
  • E. religiousTarget
    Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eca0e2048190a7bf360257965e56 completed Feb. 28, 2026, 1:24 p.m.
PD Predicate disambiguation batch_69a2e97066e8819083cc1b3a421b9650 completed Feb. 28, 2026, 1:11 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.