Triple

T10237093
Position Surface form Disambiguated ID Type / Status
Subject Camoteros E243491 entity
Predicate competitionLevelOfClub P36085 FINISHED
Object top tier of Mexican football LITERAL 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: top tier of Mexican football | Statement: [Camoteros, competitionLevelOfClub, top tier of Mexican football]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: competitionLevelOfClub
Context triple: [Camoteros, competitionLevelOfClub, top tier of Mexican football]
  • A. associationFootballClub
    Indicates that the subject is an association football (soccer) club, i.e., an organized team entity that plays the sport of association football.
  • B. associatedLeagueLevel
    Indicates that one entity is linked to another entity representing the competitive tier or level of a sports league.
  • C. sportsTeamLevel chosen
    Indicates the competitive tier or division in which a sports team participates within an organized league or system.
  • D. levelInUEFASystem
    Indicates the specific tier or division an entity occupies within the hierarchical structure of the UEFA football league system.
  • E. competitionLevel
    Indicates the degree or intensity of competitive pressure or rivalry present in a given context or interaction.
  • F. None of above.

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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23b620c8190b8a72d0eb0d16b93 completed April 7, 2026, 9:45 a.m.
PD Predicate disambiguation batch_69d4d1e9798c8190b437d53d48554ba1 completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:22 a.m.