Triple

T38339030
Position Surface form Disambiguated ID Type / Status
Subject 1936 Swiss Grand Prix E1038040 entity
Predicate teamsCompeting P38351 FINISHED
Object Auto Union 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: Auto Union | Statement: [1936 Swiss Grand Prix, teamsCompeting, Auto Union]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: teamsCompeting
Context triple: [1936 Swiss Grand Prix, teamsCompeting, Auto Union]
  • A. teamContestedBy chosen
    Indicates that a team participates as a competitor or contestant in a particular event, match, or competition.
  • B. teamsRepresent
    Indicates that one or more teams act on behalf of, or serve as the official representatives of, a particular entity, organization, or group.
  • C. teamsParticipated
    Indicates that the referenced teams took part in a particular event, activity, or competition.
  • D. teamOpposed
    Indicates that one team is in opposition or conflict with another team, such as being rivals or competing against each other.
  • E. rivalTeam
    Indicates that one team is in a competitive or adversarial relationship with another team, often vying for superiority or dominance.
  • 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_69f76e20d65c81909619ac0dd85c56f0 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc7a4d7f881908b43b960911b81e9 completed May 7, 2026, 5:11 p.m.
PD Predicate disambiguation batch_69fcc589720c819089c8f500fea3c86a completed May 7, 2026, 5:02 p.m.
Created at: May 3, 2026, 4:30 p.m.