Triple

T21705054
Position Surface form Disambiguated ID Type / Status
Subject Tuenti HP 40 E535750 entity
Predicate rider P59648 FINISHED
Object Pol Espargaró NE NERFINISHED

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: Pol Espargaró | Statement: [Tuenti HP 40, rider, Pol Espargaró]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pol Espargaró
Context triple: [Tuenti HP 40, rider, Pol Espargaró]
  • A. Pol Espargaró chosen
    Pol Espargaró is a Spanish Grand Prix motorcycle road racer known for competing in the MotoGP World Championship with multiple factory and satellite teams.
  • B. Aleix Espargaró
    Aleix Espargaró is a Spanish Grand Prix motorcycle road racer known for his long-standing presence in MotoGP and his role in developing Aprilia’s competitiveness in the premier class.
  • C. Álex Márquez
    Álex Márquez is a Spanish Grand Prix motorcycle racer and Moto3 and Moto2 World Champion who competes in the premier MotoGP class.
  • D. Alex Rins
    Alex Rins is a Spanish Grand Prix motorcycle racer best known for his MotoGP victories and competitive performances with teams such as Suzuki and Honda.
  • E. Johann Zarco
    Johann Zarco is a French Grand Prix motorcycle racer best known for winning multiple Moto2 World Championships and later competing in the MotoGP premier class.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb52e4b84819095a24cc9fdca2b8a completed April 27, 2026, 7:12 p.m.
Created at: April 16, 2026, 6:46 p.m.