Triple

T8862486
Position Surface form Disambiguated ID Type / Status
Subject Xavier Hernández Creus E210925 entity
Predicate numberOfAppearances P66711 FINISHED
Object over 750 official matches for FC Barcelona 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: over 750 official matches for FC Barcelona | Statement: [Xavier Hernández Creus, numberOfAppearances, over 750 official matches for FC Barcelona]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfAppearances
Context triple: [Xavier Hernández Creus, numberOfAppearances, over 750 official matches for FC Barcelona]
  • A. testAppearances
    Indicates that one entity conducts or is involved in tests or experiments concerning the appearances or visual characteristics of another entity.
  • B. seasonAppearance
    Indicates that an entity appears in, or is present during, a particular season within a series or sequence.
  • C. sportNumberOfAppearances chosen
    Indicates the total number of times an entity has participated in or appeared in a particular sport or sporting event.
  • D. hasNotableMultipleAppearances
    Indicates that an entity appears multiple times in a context or medium in a way considered significant or noteworthy.
  • E. runnerUpConsecutiveAppearances
    Indicates that an entity has achieved runner-up status in a competition for a specified number of consecutive appearances or editions.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc610263048190931bb2c3ac573a08 completed April 1, 2026, 12:04 a.m.
PD Predicate disambiguation batch_69cc5c279ea481908c71756f694b66bf completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:50 p.m.