Triple

T21630544
Position Surface form Disambiguated ID Type / Status
Subject El Tri E533816 entity
Predicate fifaCode P6278 FINISHED
Object MEX 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: MEX | Statement: [El Tri, fifaCode, MEX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MEX
Context triple: [El Tri, fifaCode, MEX]
  • A. MEX
    MEX is a major expressway in Malaysia that connects Kuala Lumpur to Putrajaya and Cyberjaya, helping to ease traffic congestion between the capital and its southern suburbs.
  • B. MEX chosen
    MEX is the IATA airport code for Mexico City International Airport, the main international gateway serving Mexico City and one of the busiest airports in Latin America.
  • C. MX-MEX
    MX-MEX is the ISO 3166-2 subdivision code that uniquely identifies the Mexican state of México within the country of Mexico.
  • D. Guatimozín
    Guatimozín is another name for Cuauhtémoc, the last Aztec emperor who led the defense of Tenochtitlan against the Spanish conquest.
  • E. The Mexican
    The Mexican is a 2001 crime-comedy film starring Brad Pitt and Julia Roberts that blends romance, dark humor, and a quirky road-trip plot centered around a legendary cursed pistol.
  • 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef521679fc81909c94d42439fda4ba completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.