Triple

T8889334
Position Surface form Disambiguated ID Type / Status
Subject Legal Committee E211624 entity
Predicate topicHandled P71354 FINISHED
Object Measures to eliminate international terrorism (legal aspects) 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: Measures to eliminate international terrorism (legal aspects) | Statement: [Legal Committee, topicHandled, Measures to eliminate international terrorism (legal aspects)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: topicHandled
Context triple: [Legal Committee, topicHandled, Measures to eliminate international terrorism (legal aspects)]
  • A. handledMatter chosen
    Indicates that an entity has dealt with, managed, or taken responsibility for a particular matter, issue, or case.
  • B. messageHandling
    Indicates how messages are received, processed, and responded to within a communication or messaging system.
  • C. handlingProperty
    Indicates that one entity specifies how another entity should be handled, processed, or treated under certain conditions.
  • D. informationTypeHandled
    Indicates that an entity is responsible for processing, managing, or dealing with a particular type or category of information.
  • E. legacyTopic
    Indicates that a topic or subject is considered outdated, superseded, or retained only for backward compatibility or historical reasons.
  • 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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc618f94108190b03248832bfe68a9 completed April 1, 2026, 12:06 a.m.
PD Predicate disambiguation batch_69cc5c2aec04819093c932fe51c0f08d completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:53 p.m.