Triple

T8816551
Position Surface form Disambiguated ID Type / Status
Subject Mengão E209790 entity
Predicate associatedSportingSuccess P17391 FINISHED
Object multiple Campeonato Brasileiro Série A titles 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: multiple Campeonato Brasileiro Série A titles | Statement: [Mengão, associatedSportingSuccess, multiple Campeonato Brasileiro Série A titles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedSportingSuccess
Context triple: [Mengão, associatedSportingSuccess, multiple Campeonato Brasileiro Série A titles]
  • A. sportsAchievement chosen
    Indicates a relationship where an entity attains or is recognized for a notable accomplishment in a sports context.
  • B. relatedSport
    Indicates that there is an association or connection between an entity and a particular sport.
  • C. sportsInvolvement
    Indicates the nature or extent of an entity’s participation in, association with, or role within a sport or sporting activity.
  • D. associatedWithTeamSport
    Indicates a relationship where an entity is connected to, involved in, or participates in a team-based sport.
  • E. sponsorSport
    Indicates that one entity financially or materially supports a sport or sporting activity, typically in exchange for promotion or association.
  • 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_69ca8364e13081909c85fe80f44fe86f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc600bd8a88190ad891a96201d796b completed April 1, 2026, midnight
PD Predicate disambiguation batch_69cc5c21e64c81908490e3b0875dc0d6 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:46 p.m.