Triple

T12489532
Position Surface form Disambiguated ID Type / Status
Subject University of Campinas E298524 entity
Predicate affiliation P10 FINISHED
Object CRUESP E270044 NE 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: CRUESP | Statement: [University of Campinas, affiliation, CRUESP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CRUESP
Context triple: [University of Campinas, affiliation, CRUESP]
  • A. CRUESP chosen
    CRUESP is a Brazilian council that brings together public universities in the state of São Paulo to coordinate policies, collaboration, and higher education initiatives.
  • B. CRUE
    CRUE is the main association representing Spanish universities, coordinating and promoting their interests in higher education and research.
  • C. Crues
    Crues is the commonly used nickname for Crusaders Football Club, a professional football team based in Belfast, Northern Ireland.
  • D. CRUCH
    CRUCH is a Chilean council that brings together the country’s main traditional universities to coordinate and guide national higher education policy.
  • E. CRUI
    CRUI is the Conference of Italian University Rectors, a national association representing and coordinating the leadership of Italian universities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de1db9481909ddf70eb81cdb714 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64ba9e1108190b74984d9da9baebe completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.