Triple

T10713961
Position Surface form Disambiguated ID Type / Status
Subject Sephardi Chief Rabbi of Israel E252612 entity
Predicate coEqualOfficeWith P15578 FINISHED
Object Ashkenazi Chief Rabbi of 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: Ashkenazi Chief Rabbi of Israel | Statement: [Sephardi Chief Rabbi of Israel, coEqualOfficeWith, Ashkenazi Chief Rabbi of Israel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coEqualOfficeWith
Context triple: [Sephardi Chief Rabbi of Israel, coEqualOfficeWith, Ashkenazi Chief Rabbi of Israel]
  • A. equivalentOffice chosen
    Indicates that two offices are considered functionally or formally the same position, role, or authority, even if they differ in name or jurisdiction.
  • B. comparableOffice
    Indicates that two offices are sufficiently similar in relevant characteristics (such as size, function, or status) to be meaningfully compared to each other.
  • C. officeIsIn
    Indicates that one office is located within or inside another specified place or building.
  • D. worksWithOffice
    Indicates that an entity collaborates or is professionally associated with a particular office or office-based organization.
  • E. requiresConcurrentOffice
    Indicates that one entity’s validity, operation, or status depends on another entity holding a specific office or position at the same time.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fe54465081909640f6d7a2314fcb completed April 9, 2026, 1:18 a.m.
PD Predicate disambiguation batch_69d6f30455888190b77f476b8418eaee completed April 9, 2026, 12:29 a.m.
Created at: April 8, 2026, 9:13 p.m.