Triple

T15264858
Position Surface form Disambiguated ID Type / Status
Subject Super GT E364871 entity
Predicate hasRacedAtCircuit P56426 FINISHED
Object Fuji Speedway E713424 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: Fuji Speedway | Statement: [Super GT, hasRacedAtCircuit, Fuji Speedway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fuji Speedway
Context triple: [Super GT, hasRacedAtCircuit, Fuji Speedway]
  • A. Fuji Speedway chosen
    Fuji Speedway is a renowned Japanese motor racing circuit located near Mount Fuji, known for hosting international racing series and high-speed events.
  • B. Suzuka
    Suzuka is a city in Japan best known internationally for the Suzuka International Racing Course, which hosts major motorsport events including Formula One races.
  • C. Suzuka Sports Garden
    Suzuka Sports Garden is a multi-purpose sports complex in Suzuka, Japan, offering facilities for various athletic and recreational activities.
  • D. Autopolis
    Autopolis is a motorsport race circuit located in Oita Prefecture, Japan, known for hosting major racing series on its challenging, hilly layout.
  • E. Tokyo Racecourse
    Tokyo Racecourse is a major Japanese horse racing venue in Fuchu, Tokyo, known for hosting prestigious events such as the Japan Cup.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00851c5b88190a296b6a105d3ee30 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef6fc290819096ef03f8ecae8876 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:14 a.m.