Triple

T23086336
Position Surface form Disambiguated ID Type / Status
Subject KMCE E575612 entity
Predicate hasIATAcode P2569 FINISHED
Object MCE NE NERFINISHED

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: MCE | Statement: [KMCE, hasIATAcode, MCE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MCE
Context triple: [KMCE, hasIATAcode, MCE]
  • A. MCE chosen
    MCE is the three-letter IATA airport code for Merced Regional Airport in Merced, California.
  • B. MEC
    MEC is the commonly used acronym for Uruguay’s Ministry of Education and Culture, the national body responsible for educational policy and cultural affairs.
  • C. MEC
    MEC is the commonly used acronym for the Mountain East Conference, an NCAA Division II collegiate athletic conference in the United States.
  • D. MEC
    MEC is the federal government body responsible for formulating and implementing Brazil’s national education policies and overseeing its education system.
  • E. MEC
    MEC is the reporting mark for the Maine Central Railroad, a historic New England freight and passenger rail carrier.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da573588190a8e0c859667e64a6 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:57 p.m.