Triple

T9683595
Position Surface form Disambiguated ID Type / Status
Subject Monterrey International Airport E234348 entity
Predicate icaoCode 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: [Monterrey International Airport, icaoCode, MMMY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MMMY
Context triple: [Monterrey International Airport, icaoCode, 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ccf21a08190a1302b933b9e50be completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19106e67881909505287620d2f781 completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:16 p.m.