Triple

T28554306
Position Surface form Disambiguated ID Type / Status
Subject Sharia courts in Israel E722963 entity
Predicate subjectToReviewOn P178291 FINISHED
Object questions of jurisdiction 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: questions of jurisdiction | Statement: [Sharia courts in Israel, subjectToReviewOn, questions of jurisdiction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subjectToReviewOn
Context triple: [Sharia courts in Israel, subjectToReviewOn, questions of jurisdiction]
  • A. subjectToReviewProcedure
    Indicates that an entity is required to undergo a formal review process or procedure before a decision, approval, or action is finalized.
  • B. reviewedFor
    Indicates that one entity has examined or evaluated another entity for a specific purpose, standard, or context.
  • C. reviewedBy
    Indicates that an item, work, or action has been examined and evaluated by a specific agent or reviewer.
  • D. hasBeenReviewedIn
    Indicates that an entity has been evaluated or critiqued within a specific review, publication, or reviewing context.
  • E. reviewedAs
    Indicates that one entity has evaluated, critiqued, or assessed another entity in a particular capacity, role, or context.
  • F. None of above. chosen

Provenance (4 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_69f01a60204481909af1bb76247b8221 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f70e8755a48190931eaa77946f9460 completed May 3, 2026, 8:59 a.m.
PD Predicate disambiguation batch_69f70abc00848190a1c3f495ef6c8dc6 completed May 3, 2026, 8:43 a.m.
PDg Predicate description generation batch_69f70e854b9c8190a3416e2189e17742 completed May 3, 2026, 8:59 a.m.
Created at: April 28, 2026, 3:44 a.m.