Triple

T1048432
Position Surface form Disambiguated ID Type / Status
Subject Protocol of Buenos Aires E22636 entity
Predicate partyEligibility P84 FINISHED
Object member states of the Organization of American States 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: member states of the Organization of American States | Statement: [Protocol of Buenos Aires, partyEligibility, member states of the Organization of American States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partyEligibility
Context triple: [Protocol of Buenos Aires, partyEligibility, member states of the Organization of American States]
  • A. positionEligible
    Indicates that an entity is qualified or permitted to hold or be assigned to a particular position or role.
  • B. eligibility chosen
    Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
  • C. eligibilityUnit
    Indicates that one entity serves as the unit or basis used to determine another entity’s eligibility for a benefit, status, or condition.
  • D. eligibilityLevel
    Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
  • E. eligibilityCategory
    Indicates the classification or type of eligibility that applies to an entity within a given context.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8f28c7c8190b9ca3749666bcbf3 completed March 1, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69a4b72e3e488190b768005ad647886b completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.