Triple

T34572338
Position Surface form Disambiguated ID Type / Status
Subject Tevul Yom E887656 entity
Predicate legalStatusTermExplained P199562 FINISHED
Object tevul yom 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: tevul yom | Statement: [Tevul Yom, legalStatusTermExplained, tevul yom]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalStatusTermExplained
Context triple: [Tevul Yom, legalStatusTermExplained, tevul yom]
  • A. legalStatusClarifiedBy
    Indicates that the legal status of something is defined, explained, or resolved by a specific document, decision, or authoritative act.
  • B. legalDefinitionCompliance
    Indicates that an entity or action conforms to, satisfies, or is consistent with the applicable legal definitions established by laws or regulations.
  • C. legalTermIn
    Indicates that a particular legal term or concept is used, defined, or applicable within a specified legal document, jurisdiction, or context.
  • D. legalCodeStatus
    Indicates the legal or regulatory status assigned to a specific code within a legal or statutory system (e.g., active, repealed, pending).
  • E. legalTermRefersTo chosen
    Indicates that a specific legal term denotes, references, or is defined by another concept, provision, or entity within a legal 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_69f349d1a5fc81908557a46875b2f157 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69ff691f5ae481908597ce245188d31c completed May 9, 2026, 5:04 p.m.
PD Predicate disambiguation batch_69ff67ceeeb081909fd00cad166c4b6a completed May 9, 2026, 4:58 p.m.
Created at: May 1, 2026, 2:03 a.m.