Triple

T19146769
Position Surface form Disambiguated ID Type / Status
Subject North Carolina Tar Heels women's soccer E468697 entity
Predicate hasWonNCAATournaments P24536 FINISHED
Object multiple NCAA College Cup 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 NCAA College Cup titles | Statement: [North Carolina Tar Heels women's soccer, hasWonNCAATournaments, multiple NCAA College Cup titles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWonNCAATournaments
Context triple: [North Carolina Tar Heels women's soccer, hasWonNCAATournaments, multiple NCAA College Cup titles]
  • A. hasWonNCAATitleIn
    Indicates that an entity has won an NCAA championship title in a specified sport, category, or year.
  • B. NCAAChampionshipCount chosen
    Indicates the number of NCAA championships an entity has won.
  • C. NCAATournamentAppearance
    Indicates that an entity has participated in at least one NCAA basketball tournament.
  • D. hasReachedNationalChampionshipGame
    Indicates that an entity has advanced to and participated in the final game of a national championship competition.
  • E. NCAATournamentChampionshipGameAppearances
    Indicates the number of times an entity has participated in the championship (final) game of the NCAA Tournament.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e9796ebc8190928f4b227685bc33 completed April 20, 2026, 8:53 a.m.
PD Predicate disambiguation batch_69e4b9b475d88190a8c15e8eb01dbfef completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 12:06 p.m.