Triple

T34058732
Position Surface form Disambiguated ID Type / Status
Subject Programa Universidade para Todos E873433 entity
Predicate hasAffirmativeAction P141364 FINISHED
Object yes 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: yes | Statement: [Programa Universidade para Todos, hasAffirmativeAction, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAffirmativeAction
Context triple: [Programa Universidade para Todos, hasAffirmativeAction, yes]
  • A. isAffirmativeActionFor chosen
    Indicates that one entity constitutes or performs an affirmative action in favor of, or as a remedial measure benefiting, another entity or group.
  • B. hasMinorityIn
    Indicates that one entity holds a non-controlling, minority ownership or stake in another entity.
  • C. discriminationStatus
    Indicates whether an entity is subject to, engaged in, or affected by discriminatory treatment based on protected or distinguishing characteristics.
  • D. hasAidProgram
    Indicates that one entity provides or maintains an aid or assistance program for another entity or group.
  • E. hasFair
    Indicates that an entity organizes, hosts, or is associated with a fair or similar event.
  • 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_69f349a4af208190afa14888f9c9fb9d completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70b972fec8190bdba728067483e09 completed May 3, 2026, 8:47 a.m.
PD Predicate disambiguation batch_69f70ac0170c819098e3b8e41d02efef completed May 3, 2026, 8:43 a.m.
Created at: May 1, 2026, 1:52 a.m.