Triple

T28991044
Position Surface form Disambiguated ID Type / Status
Subject Kevin Magnussen E736025 entity
Predicate podiumFinishes P51157 FINISHED
Object multiple, including 2nd place at 2014 Australian Grand Prix 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, including 2nd place at 2014 Australian Grand Prix | Statement: [Kevin Magnussen, podiumFinishes, multiple, including 2nd place at 2014 Australian Grand Prix]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: podiumFinishes
Context triple: [Kevin Magnussen, podiumFinishes, multiple, including 2nd place at 2014 Australian Grand Prix]
  • A. podiumFinishAtGrandPrix
    Indicates that an entity achieved a top-three (podium) finishing position at a specified Grand Prix event.
  • B. podiumFinishesInMotoGP
    Indicates that an entity achieved a top-three (podium) finishing position in a MotoGP race.
  • C. hasPodiumCeremony
    Indicates that a podium ceremony is held or associated with the referenced event or competition.
  • D. achievedPodiumIn
    Indicates that an entity finished in a top-ranked (podium) position in a specified competition or event.
  • E. podiums chosen
    Indicates that an entity finishes in a top-placed position (typically first, second, or third) in a competitive event.
  • 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_69f077eacd0481908ef0bafd74491cd0 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f65f7d3b5c8190937aaddff2879989 completed May 2, 2026, 8:33 p.m.
PD Predicate disambiguation batch_69f659d02f1c8190831758ac52bb54e4 completed May 2, 2026, 8:08 p.m.
Created at: April 28, 2026, 9:25 a.m.