Triple

T36672268
Position Surface form Disambiguated ID Type / Status
Subject Misano Adriatico E905449 entity
Predicate hasMotorsportVenue P13462 FINISHED
Object Misano World Circuit Marco Simoncelli 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: Misano World Circuit Marco Simoncelli | Statement: [Misano Adriatico, hasMotorsportVenue, Misano World Circuit Marco Simoncelli]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMotorsportVenue
Context triple: [Misano Adriatico, hasMotorsportVenue, Misano World Circuit Marco Simoncelli]
  • A. hasMotorRacingCircuit chosen
    Indicates that a location or entity possesses, contains, or is the site of a motor racing circuit.
  • B. isMotorSportEventIn
    Indicates that a particular motorsport event takes place within a specified location or venue.
  • C. hasMotorsportInvolvement
    Indicates that an entity is involved in motorsport, such as through participation, organization, sponsorship, or other direct association with motor racing activities.
  • D. motorsportEvent
    Indicates a relationship where an event is characterized as a motorsport competition or race involving motorized vehicles.
  • E. hasMotorsportVersion
    Indicates that an entity has a specific variant or model designed or adapted for use in motorsport.
  • 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_69f76e6f10008190aea41746aa1b186e completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ff6fba1a5c8190a660279a6271d785 completed May 9, 2026, 5:32 p.m.
PD Predicate disambiguation batch_69ff6f59388c8190a7d6ab7bc7705bc0 completed May 9, 2026, 5:31 p.m.
Created at: May 3, 2026, 4:12 p.m.