Triple

T9643992
Position Surface form Disambiguated ID Type / Status
Subject Articles 15 bis and 15 ter of the Rome Statute E233145 entity
Predicate distinguishBetween P60828 FINISHED
Object State referrals and proprio motu investigations regarding aggression 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: State referrals and proprio motu investigations regarding aggression | Statement: [Articles 15 bis and 15 ter of the Rome Statute, distinguishBetween, State referrals and proprio motu investigations regarding aggression]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: distinguishBetween
Context triple: [Articles 15 bis and 15 ter of the Rome Statute, distinguishBetween, State referrals and proprio motu investigations regarding aggression]
  • A. categoryDistinguishedFrom chosen
    Indicates that one category is explicitly distinguished from another, clarifying that they are separate and should not be confused.
  • B. distinction
    Indicates that one entity is recognized, treated, or classified as different or separate from another.
  • C. differIn
    Indicates that two entities are not the same in at least one specified aspect, attribute, or value.
  • D. introducesDistinction
    Indicates that one entity establishes or makes clear a conceptual or categorical difference between two or more entities or ideas.
  • E. differenceDescription
    Indicates a textual explanation that characterizes how two entities differ from each other.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b7e2c488190b0f0dfa6d82618c8 completed April 1, 2026, 10:26 p.m.
PD Predicate disambiguation batch_69ccd5b0263081908cf6df3eb07d71b0 completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:12 p.m.