Triple
T33593848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koenigsegg One:1 |
E860503
|
entity |
| Predicate | 0-300km/hTime |
P164418
|
FINISHED |
| Object | about 11.9 s |
—
|
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: about 11.9 s | Statement: [Koenigsegg One:1, 0-300km/hTime, about 11.9 s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 0-300km/hTime Context triple: [Koenigsegg One:1, 0-300km/hTime, about 11.9 s]
-
A.
0-200kmhTime
Indicates the time it takes for something, typically a vehicle, to accelerate from 0 to 200 kilometers per hour.
-
B.
0To300KphTime
chosen
Indicates the time it takes for something, typically a vehicle, to accelerate from 0 to 300 kilometers per hour.
-
C.
acceleration0To300kmh
Indicates the rate or time it takes for something to increase its speed from 0 to 300 kilometers per hour.
-
D.
speedOfHighSpeedTrain
Indicates the velocity at which a high-speed train is traveling.
-
E.
0-186mphTime
Indicates the time it takes an object, typically a vehicle, to accelerate from 0 to 186 miles per hour.
- 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_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f79eac5881908609d28c963ea9b4 |
completed | May 3, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:41 a.m.