Triple

T1622923
Position Surface form Disambiguated ID Type / Status
Subject Pep Guardiola E35072 entity
Predicate premierLeagueTitlesWithManchesterCityAsManager P31071 FINISHED
Object multiple 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 | Statement: [Pep Guardiola, premierLeagueTitlesWithManchesterCityAsManager, multiple]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: premierLeagueTitlesWithManchesterCityAsManager
Context triple: [Pep Guardiola, premierLeagueTitlesWithManchesterCityAsManager, multiple]
  • A. PremierLeagueTitlesWithManchesterCityAsManager chosen
    Indicates the number of Premier League titles a manager has won while managing Manchester City.
  • B. championsLeagueTitlesWithBarcelonaAsManager
    Indicates the number of UEFA Champions League titles a person has won specifically while serving as the manager of FC Barcelona.
  • C. leagueTitlesWithBarcelonaAsManager
    Indicates the number of league titles a person has won while serving as the manager of Barcelona.
  • D. leagueTitlesWonWithManchesterUnited
    Indicates the number of league titles an entity has won while playing for or managing Manchester United.
  • E. continentalTitleWonAsManager
    Indicates that the person has won a continental-level competition title in the role of a manager.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69ab272a653481908f48aa1eed5de8a4 completed March 6, 2026, 7:12 p.m.
PD Predicate disambiguation batch_69aa61b2f6288190b2348ef7d7e4672d completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:28 p.m.