Triple

T667087
Position Surface form Disambiguated ID Type / Status
Subject Annecy Round (1949) E12887 entity
Predicate belongsToRegime P12605 FINISHED
Object multilateral trading system 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: multilateral trading system | Statement: [Annecy Round (1949), belongsToRegime, multilateral trading system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: belongsToRegime
Context triple: [Annecy Round (1949), belongsToRegime, multilateral trading system]
  • A. recognizesRegime
    Indicates that one entity formally acknowledges the legitimacy or authority of another entity’s governing regime.
  • B. createdRegimeOf
    Indicates that one entity brought about, established, or was responsible for the formation of a particular regime or system of rule for another entity.
  • C. governedByLegalRegime chosen
    Indicates that an entity is subject to, regulated by, or operating under a specific legal framework or set of legal rules.
  • D. regulatoryDomain
    Indicates that one entity defines or governs the rules, policies, or constraints under which another entity must operate.
  • E. regentFor
    Indicates that one entity serves as the ruling authority on behalf of another, typically during the latter’s minority, absence, or incapacity.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49ff7ca788190bef58ce46849b9d0 completed March 1, 2026, 8:22 p.m.
PD Predicate disambiguation batch_69a49d18942c819083b3d1887e505900 completed March 1, 2026, 8:10 p.m.
Created at: March 1, 2026, 7:36 p.m.