Triple

T8053800
Position Surface form Disambiguated ID Type / Status
Subject Mexican football league system E187741 entity
Predicate governingBodyAbbreviation P2886 FINISHED
Object FMF E155637 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: FMF | Statement: [Mexican football league system, governingBodyAbbreviation, FMF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FMF
Context triple: [Mexican football league system, governingBodyAbbreviation, FMF]
  • A. FMF chosen
    FMF is the commonly used abbreviation for the Mexican Football Federation, the governing body of professional and amateur soccer in Mexico.
  • B. FM!
    FM! is a 2018 studio album by American rapper Vince Staples that blends West Coast hip-hop with a conceptual radio-show format and sharp social commentary.
  • C. FFM
    FFM is an abbreviation commonly used for the Montreal World Film Festival, an international film festival held annually in Montreal, Canada.
  • D. FUM
    FUM is an abbreviation for Ferdowsi University of Mashhad, a major public research university in Mashhad, Iran.
  • E. MF
    MF is the two-letter ISO 3166-1 alpha-2 country code assigned to the French overseas collectivity of Saint Martin.
  • 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_69ca82b15e948190a62fd7af5218426a completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f9fb8dc8190bacc1f66ddfd1cbf completed March 31, 2026, 3:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc572058048190996fa77774bf44ba completed March 31, 2026, 11:22 p.m.
Created at: March 30, 2026, 5:25 p.m.