Triple
T15535466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wario Colosseum |
E370327
|
entity |
| Predicate | supportsKarts |
P48616
|
FINISHED |
| Object | all standard karts in Mario Kart: Double Dash!! |
—
|
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: all standard karts in Mario Kart: Double Dash!! | Statement: [Wario Colosseum, supportsKarts, all standard karts in Mario Kart: Double Dash!!]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsKarts Context triple: [Wario Colosseum, supportsKarts, all standard karts in Mario Kart: Double Dash!!]
-
A.
supportsVehicle
Indicates that one entity provides the necessary strength, stability, or structure to bear the weight of a vehicle.
-
B.
hasKartingTrack
Indicates that one entity possesses or includes a karting track as a facility or feature.
-
C.
supportedIn
chosen
Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
-
D.
supportedFleet
Indicates that one entity provided assistance, resources, or services to sustain or enable the operations of a fleet.
-
E.
supportedAs
Indicates that one entity is accepted, recognized, or treated as being in the role, type, or representation of another 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442e327c8190b4b879c8a3cd38e3 |
completed | April 16, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69deda7a95c48190bbe29fadcf17191a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:06 a.m.