Triple

T25027811
Position Surface form Disambiguated ID Type / Status
Subject Israeli law E626756 entity
Predicate hasCourtSystemLevel P71353 FINISHED
Object magistrates’ courts 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: magistrates’ courts | Statement: [Israeli law, hasCourtSystemLevel, magistrates’ courts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCourtSystemLevel
Context triple: [Israeli law, hasCourtSystemLevel, magistrates’ courts]
  • A. hadCourtLevel chosen
    Indicates the specific hierarchical level of the court at which a legal case or judicial action took place.
  • B. isPartOfCourtSystem
    Indicates that one legal body, division, or component belongs to and operates within a larger court system.
  • C. hasCourts
    Indicates that an entity possesses, contains, or is equipped with one or more courts (e.g., legal, sports, or judicial facilities).
  • D. hasStateCourt
    Indicates that a given jurisdiction or region possesses an official court that operates at the state level.
  • E. hasJudicialPowerLevel
    Indicates that an entity possesses a specified degree or extent of judicial authority or decision-making power.
  • 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_69e2ff28ee3881909c626af002457a4a completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f6afebd7ec8190ab696f363d84abf0 completed May 3, 2026, 2:16 a.m.
PD Predicate disambiguation batch_69f6aca204148190850a3dc325bc07b7 completed May 3, 2026, 2:02 a.m.
Created at: April 18, 2026, 6:07 a.m.