Triple

T35849908
Position Surface form Disambiguated ID Type / Status
Subject שב"כ E1036318 entity
Predicate סמכות_חוקית P65906 FINISHED
Object חוק שירות הביטחון הכללי NE NERFINISHED

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: חוק שירות הביטחון הכללי | Statement: [שב"כ, סמכות_חוקית, חוק שירות הביטחון הכללי]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: סמכות_חוקית
Context triple: [שב"כ, סמכות_חוקית, חוק שירות הביטחון הכללי]
  • A. legalAct
    Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
  • B. lawCollection
    Indicates a relationship in which a set of legal rules, statutes, or regulations is grouped or organized together as a collection.
  • C. lawLibrary
    Indicates a relationship where a location or resource functions as a library specifically dedicated to legal materials, services, or research.
  • D. majorLegalSource chosen
    Indicates that one entity serves as a primary or authoritative legal basis or reference for another entity.
  • E. legalMatters
    Indicates that one entity is involved with, concerned about, or responsible for legal issues, processes, or obligations related to another entity or 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_69f76e1b4aa481909630373171eb5ec6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa3883d48190b05e3d2da7a017ae completed May 3, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69f7a8d435288190b30b1991fb003121 completed May 3, 2026, 7:58 p.m.
Created at: May 3, 2026, 4:06 p.m.