Triple

T57835
Position Surface form Disambiguated ID Type / Status
Subject Bretton Woods system E1144 entity
Predicate dissolvedBecauseOf P133 FINISHED
Object U.S. balance of payments deficits 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: U.S. balance of payments deficits | Statement: [Bretton Woods system, dissolvedBecauseOf, U.S. balance of payments deficits]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dissolvedBecauseOf
Context triple: [Bretton Woods system, dissolvedBecauseOf, U.S. balance of payments deficits]
  • A. dissolved
    Indicates that one substance has been mixed into another so thoroughly that it forms a uniform solution and is no longer distinguishable as a separate phase.
  • B. dissolvedOrAbolished chosen
    Indicates that an organization, institution, or formal entity has been officially terminated, disbanded, or ceased to exist.
  • C. causeOf
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • D. damagedBy
    Indicates that one entity has caused harm, impairment, or deterioration to another entity.
  • E. damagedIn
    Indicates that an entity has suffered harm, impairment, or destruction as a result of a specified event, process, or condition.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b915c9881908c798f4dacb39f1d completed Feb. 28, 2026, 1:57 a.m.
PD Predicate disambiguation batch_69a24ac6799c8190b508933acc0a4c7d completed Feb. 28, 2026, 1:54 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.