Triple
T29871809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Excite Truck |
E758610
|
entity |
| Predicate | physicsModel |
P135943
|
FINISHED |
| Object | arcade-style |
—
|
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: arcade-style | Statement: [Excite Truck, physicsModel, arcade-style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: physicsModel Context triple: [Excite Truck, physicsModel, arcade-style]
-
A.
physicsModelTested
Indicates that a physics model has been subjected to testing or evaluation, typically to assess its validity or performance.
-
B.
physicsFeature
chosen
Indicates that one entity possesses or exhibits a specific physical or physics-related property, behavior, or characteristic in relation to another.
-
C.
supportsPhysics
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.
-
D.
physicalBasis
Indicates that one entity serves as the underlying physical foundation, mechanism, or substrate that gives rise to or supports the properties, behavior, or existence of another entity.
-
E.
mechanicalProperty
Indicates a relationship where a mechanical characteristic (such as strength, stiffness, hardness, or elasticity) is attributed to or associated with an entity.
- 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_69f2245d0d7081909e37ee328542bcd7 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f676f968d08190a4adba0439b438c9 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 5:54 p.m.