Triple

T6172909
Position Surface form Disambiguated ID Type / Status
Subject St. Petersburg Grand Prix E137745 entity
Predicate previousTitleSponsor P18226 FINISHED
Object Honda E16304 NE FINISHED

How this triple was built (3 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: Honda | Statement: [St. Petersburg Grand Prix, previousTitleSponsor, Honda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honda
Context triple: [St. Petersburg Grand Prix, previousTitleSponsor, Honda]
  • A. Honda
    Honda is a historic Colombian river port city on the Magdalena River, known for its colonial architecture and numerous bridges.
  • B. Honda chosen
    Honda is a major Japanese automobile and motorcycle manufacturer known for its reliable, fuel-efficient vehicles and global market presence.
  • C. Mazda Motor Corporation
    Mazda Motor Corporation is a Japanese automaker known for its innovative engineering, including rotary engines and driver-focused vehicles, and for its global presence in the automotive market.
  • D. Honda Civic
    The Honda Civic is a popular compact car known for its reliability, fuel efficiency, and long-standing presence in Honda’s global lineup.
  • E. Acura
    Acura is Honda's luxury vehicle division, known for producing premium cars and SUVs with a focus on performance, technology, and reliability.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previousTitleSponsor
Context triple: [St. Petersburg Grand Prix, previousTitleSponsor, Honda]
  • A. previousSponsor
    Indicates that an entity formerly acted as a sponsor for another entity at some earlier time but no longer does so.
  • B. previousSponsorshipName
    Indicates that an entity had a different sponsorship name in the past, specifying what that prior sponsored name was.
  • C. formerSponsor chosen
    Indicates that an entity previously acted as a sponsor for another entity but no longer holds that sponsoring role.
  • D. previousTitle
    Indicates that one title held or used by an entity directly preceded another title in sequence or time.
  • E. hasTitleSponsor
    Indicates that one entity serves as the primary (title) sponsor for another entity, typically giving its name to the sponsored event, organization, or property.
  • F. None of above.

Provenance (4 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_69c008a68c508190a8d78245c865960e completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d9319548190980c99f692bd4115 completed March 22, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141b200788190bd8d968edba53e5f completed March 23, 2026, 1:35 p.m.
PD Predicate disambiguation batch_69c055f7f12881908e21c04e9b752ba4 completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:18 p.m.