Triple

T1996122
Position Surface form Disambiguated ID Type / Status
Subject Mexico City International Airport E43362 entity
Predicate icaoCode P419 FINISHED
Object MMMX E42350 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: MMMX | Statement: [Mexico City International Airport, icaoCode, MMMX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MMMX
Context triple: [Mexico City International Airport, icaoCode, MMMX]
  • A. MMMX chosen
    MMMX is the ICAO airport code designating Mexico City International Airport, the main international gateway to Mexico’s capital.
  • B. MM
    MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
  • C. Milles
    Milles is a surname and variant of "Mills" that appears in English-speaking contexts.
  • D. Manyika
    Manyika is a major dialect of the Shona language spoken primarily in eastern Zimbabwe and adjacent areas of Mozambique.
  • E. 99-499
    99-499 is the public law number for the Superfund Amendments and Reauthorization Act of 1986, a major U.S. environmental law that expanded and strengthened the federal Superfund program for cleaning up hazardous waste sites.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8666b14819084374b84b65c6c74 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae033e733c8190aa11e316e01dbd17 completed March 8, 2026, 11:16 p.m.
Created at: March 4, 2026, 7:37 p.m.