Triple

T11055310
Position Surface form Disambiguated ID Type / Status
Subject General Mariano Escobedo International Airport E261358 entity
Predicate ICAO code P419 FINISHED
Object MMMY E261359 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: MMMY | Statement: [General Mariano Escobedo International Airport, ICAO code, MMMY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MMMY
Context triple: [General Mariano Escobedo International Airport, ICAO code, MMMY]
  • A. MMMY chosen
    MMMY is the ICAO airport code for General Mariano Escobedo International Airport serving Monterrey, Mexico.
  • B. MMY
    MMY is the IATA airport code for Miyako Airport, a regional airport serving Miyakojima in Okinawa Prefecture, Japan.
  • C. MMM
    MMM is a post-nominal designation signifying membership in the Order of Military Merit, a Canadian honor recognizing exceptional service and devotion by members of the Canadian Armed Forces.
  • D. MM
    MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
  • E. MMP
    MMP is a hybrid electoral system that combines single-member district representation with proportional party lists to align a legislature’s overall seat distribution with parties’ share of the vote.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a152b4819095b74a8996346077 completed April 9, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c86e0e6481908f091497313132c1 completed April 18, 2026, 6:07 p.m.
Created at: April 8, 2026, 9:26 p.m.