Triple

T877651
Position Surface form Disambiguated ID Type / Status
Subject Peace through law E18957 entity
Predicate viewsLawAs P21014 FINISHED
Object primary instrument for maintaining peace 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: primary instrument for maintaining peace | Statement: [Peace through law, viewsLawAs, primary instrument for maintaining peace]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewsLawAs
Context triple: [Peace through law, viewsLawAs, primary instrument for maintaining peace]
  • A. lawJournal
    Indicates a relationship where a work is published in, associated with, or appears within a specific law journal.
  • B. legalDoctrine
    Indicates that one legal principle, rule, or theory is being applied, referenced, or relied upon as an authoritative basis for interpreting or deciding a legal issue.
  • C. lawReview
    Indicates a relationship where an entity is associated with a law review, typically as its subject, source, or venue of publication within legal scholarship.
  • D. typeOfLaw
    Indicates that one entity is a specific category or kind of law to which the other entity pertains.
  • E. positionOnLaw
    Indicates a stance, opinion, or interpretation that an entity holds regarding a specific law or legal provision.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acb06ea88190962502172d434eb4 completed March 1, 2026, 9:16 p.m.
PD Predicate disambiguation batch_69a4aa8d47c081909b02a53e305ccf7a completed March 1, 2026, 9:07 p.m.
PDg Predicate description generation batch_69a4ab9634948190b25ea1b2e34df87d completed March 1, 2026, 9:11 p.m.
Created at: March 1, 2026, 7:39 p.m.