Triple

T15382734
Position Surface form Disambiguated ID Type / Status
Subject F-Zero E367842 entity
Predicate notableMode P61160 FINISHED
Object Grand Prix E991474 NE 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: Grand Prix | Statement: [F-Zero, notableMode, Grand Prix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grand Prix
Context triple: [F-Zero, notableMode, Grand Prix]
  • A. Grand Prix
    The Grand Prix is one of the most prestigious awards at the Cannes Film Festival, typically regarded as the festival’s second-highest honor after the Palme d’Or.
  • B. Grand Prix chosen
    Grand Prix is a classic 1982 Activision racing video game for the Atari 2600 known for its colorful graphics and smooth side-scrolling gameplay.
  • C. Grand Prix
    The Grand Prix is the top prize awarded to the overall winner of the Sopot International Song Festival, recognizing the festival’s most outstanding performance.
  • D. Grand Prix series
    The Grand Prix series is an elite annual international figure skating circuit featuring top skaters competing across multiple events for qualification to a final championship.
  • E. Grand Prix series
    The Grand Prix series is an elite international fencing circuit featuring top-ranked athletes competing in high-level events across multiple countries each season.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7397188190bde42b897ab4b5b4 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b5bc43c81908ffdb7819e3660d9 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:19 a.m.