Triple

T34774404
Position Surface form Disambiguated ID Type / Status
Subject Halevi E1002461 entity
Predicate traditionalRoleAssociation P101409 FINISHED
Object Temple service in ancient Israel 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: Temple service in ancient Israel | Statement: [Halevi, traditionalRoleAssociation, Temple service in ancient Israel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalRoleAssociation
Context triple: [Halevi, traditionalRoleAssociation, Temple service in ancient Israel]
  • A. basisRole
    Indicates that one role serves as the foundational or underlying role upon which another role or function is defined or derived.
  • B. canonicalRole
    Indicates that an entity holds a standard, primary, or officially recognized role within a particular context or system.
  • C. traditionalAffiliation chosen
    Indicates a relationship where an entity is associated with another through long-established, customary, or historically rooted ties or membership.
  • D. ordinationRole
    Indicates the specific religious or ceremonial office, function, or capacity in which an entity is formally ordained.
  • E. recognizedRole
    Indicates that one entity acknowledges or accepts another entity’s role, position, or function within a given context.
  • 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_69f76db30a108190bb57ca95b873e5bb completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69ff3fb2318c81908a46c2f513608935 completed May 9, 2026, 2:07 p.m.
PD Predicate disambiguation batch_69ff3e96dcc48190819f6204680d84aa completed May 9, 2026, 2:03 p.m.
Created at: May 3, 2026, 3:59 p.m.