Triple

T33611260
Position Surface form Disambiguated ID Type / Status
Subject Need for Speed: Porsche Unleashed E860991 entity
Predicate hasPhysicsModel P69440 FINISHED
Object semi-simulation handling LITERAL 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: semi-simulation handling | Statement: [Need for Speed: Porsche Unleashed, hasPhysicsModel, semi-simulation handling]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhysicsModel
Context triple: [Need for Speed: Porsche Unleashed, hasPhysicsModel, semi-simulation handling]
  • A. supportsPhysics chosen
    Indicates that one entity provides the necessary capabilities or features for another entity to handle, simulate, or work with physical behaviors or physics-based interactions.
  • B. hasNoPhysicalBody
    Indicates that an entity exists or operates without a tangible, material, or corporeal form.
  • C. physicsModelTested
    Indicates that a physics model has been subjected to testing or evaluation, typically to assess its validity or performance.
  • D. hasRealModel
    Indicates that an abstract, theoretical, or simplified entity is associated with a corresponding concrete or physically instantiated model in the real world.
  • E. hasKinematicProperty
    Indicates that an entity possesses a specific motion-related characteristic, such as velocity, acceleration, or trajectory.
  • 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_69f3498037c88190a4500f002b5540e0 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7516d5b4081908588a6feb541f355 completed May 3, 2026, 1:45 p.m.
PD Predicate disambiguation batch_69f74d40ebb081909daf60623e38f41d completed May 3, 2026, 1:27 p.m.
Created at: May 1, 2026, 1:41 a.m.