Triple

T8682305
Position Surface form Disambiguated ID Type / Status
Subject Ministerio de Educación y Cultura (Uruguay) E206065 entity
Predicate shortName P43 FINISHED
Object MEC E206066 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: MEC | Statement: [Ministerio de Educación y Cultura (Uruguay), shortName, MEC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MEC
Context triple: [Ministerio de Educación y Cultura (Uruguay), shortName, MEC]
  • A. MEC chosen
    MEC is the commonly used acronym for Uruguay’s Ministry of Education and Culture, the national body responsible for educational policy and cultural affairs.
  • B. MECA
    MECA is the abbreviated name for the Metropolitan Entertainment & Convention Authority, the organization that manages major entertainment and convention facilities in Omaha, Nebraska.
  • C. MechE
    MechE is a common abbreviation for the academic and professional field of mechanical engineering, which focuses on the design, analysis, and manufacture of mechanical systems.
  • D. Mehcad
    Mehcad is a masculine given name most notably borne by American actor and former model Mehcad Brooks.
  • E. MCE
    MCE is the three-letter IATA airport code for Merced Regional Airport in Merced, 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae82e508190b0243328e98fcb1d completed March 31, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3b9fb848190b7126f8f6a1ba76f completed April 2, 2026, 10:54 p.m.
Created at: March 30, 2026, 6:32 p.m.