Triple

T12772425
Position Surface form Disambiguated ID Type / Status
Subject CUEC E305277 entity
Predicate shortName P43 FINISHED
Object CUEC E305277 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: CUEC | Statement: [CUEC, shortName, CUEC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CUEC
Context triple: [CUEC, shortName, CUEC]
  • A. CUEC chosen
    CUEC is a renowned Mexican film school affiliated with the National Autonomous University of Mexico (UNAM), known for training many of the country’s prominent filmmakers.
  • B. CUEUS
    CUEUS (Communauté universitaire et scientifique européenne de Strasbourg) is an academic and scientific community organization based in Strasbourg that promotes collaboration and exchange among European universities and research institutions.
  • C. CUE
    CUE is Kenya’s national regulatory body responsible for quality assurance, accreditation, and standards in university education.
  • D. CEC
    CEC is the primary state agency responsible for energy policy, planning, and regulation in California.
  • E. CEC
    CEC is the three-letter IATA airport code for Del Norte County Regional Airport in Crescent City, California.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df5b68481908a5d40516b09be52 completed April 10, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684fcd4b48190ab610efffcbd1546 completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:28 p.m.