Triple

T3832252
Position Surface form Disambiguated ID Type / Status
Subject MotoGP E91039 entity
Predicate safetyCarProvider P25553 FINISHED
Object BMW E10671 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: BMW | Statement: [MotoGP, safetyCarProvider, BMW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMW
Context triple: [MotoGP, safetyCarProvider, BMW]
  • A. BMW chosen
    BMW is a German luxury automobile and motorcycle manufacturer renowned for its performance-oriented vehicles and engineering.
  • B. Audi
    Audi is a German luxury automobile manufacturer known for its premium vehicles, advanced engineering, and signature quattro all-wheel-drive technology.
  • C. BMW Welt
    BMW Welt is a futuristic multi-use exhibition, delivery, and event center in Munich that showcases BMW Group vehicles and technology.
  • D. BMWK
    BMWK is the German Federal Ministry responsible for economic policy and climate action at the national level.
  • E. BMW X Series
    The BMW X Series is a lineup of BMW’s luxury crossover and sport utility vehicles known for combining premium comfort with sporty performance and all-wheel-drive capability.
  • 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: safetyCarProvider
Context triple: [MotoGP, safetyCarProvider, BMW]
  • A. safetyCarSupplier chosen
    Indicates that one entity serves as the provider or manufacturer of safety cars for another entity or event.
  • B. safetyCarPossible
    Indicates that conditions are such that deploying a safety car is a valid or allowable option.
  • C. safetyCarFrequency
    Indicates how often a safety car is deployed or appears within a given context or time frame.
  • D. hasLightningLane
    Indicates that an attraction, experience, or location offers access via a Lightning Lane queue or reservation system.
  • E. raceStatus
    Indicates the current state or progress of an entity’s participation in a race or competitive event.
  • 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb8787bc8190819a7af975b609df completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b528345dec81909231d60781020b7b completed March 14, 2026, 9:19 a.m.
PD Predicate disambiguation batch_69aee74c2e04819094b94b3c0bac1806 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:17 p.m.