Triple
T22287324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Rallycross Championship |
E550896
|
entity |
| Predicate | typicalAcceleration |
P45714
|
FINISHED |
| Object | 0–100 km/h in under 2 seconds |
—
|
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: 0–100 km/h in under 2 seconds | Statement: [World Rallycross Championship, typicalAcceleration, 0–100 km/h in under 2 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAcceleration Context triple: [World Rallycross Championship, typicalAcceleration, 0–100 km/h in under 2 seconds]
-
A.
acceleration0To100Kmh
chosen
Indicates the rate or time it takes for something to accelerate from 0 to 100 kilometers per hour.
-
B.
acceleration0To60mph
Indicates the rate or time it takes for something to increase its speed from 0 to 60 miles per hour.
-
C.
hasTypicalVelocity
Indicates that an entity is associated with a characteristic or commonly observed speed at which it typically moves or operates.
-
D.
typicalTractionType
Indicates the usual or most common type of traction mechanism associated with an entity (such as how it is typically powered or driven).
-
E.
typicalMovement
Indicates the usual or characteristic way in which an entity moves or is expected to move.
- 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560896348190985725ac8ad406b3 |
completed | April 29, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69e72ff0363081909f794d19c8a64837 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:40 p.m.