Triple
T19045740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrari F50 |
E466125
|
entity |
| Predicate | acceleration0To100KmH |
P45714
|
FINISHED |
| Object | 3.7 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: 3.7 s | Statement: [Ferrari F50, acceleration0To100KmH, 3.7 s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acceleration0To100KmH Context triple: [Ferrari F50, acceleration0To100KmH, 3.7 s]
-
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.
accelerationTimeToTopSpeed
Indicates the duration required for something to increase its speed from an initial value to its maximum (top) speed.
-
D.
0-200kmhTime
Indicates the time it takes for something, typically a vehicle, to accelerate from 0 to 200 kilometers per hour.
-
E.
speedAchieved
Indicates that a particular speed has been reached or attained by an entity during an event or action.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d80466f88190988171920f2be7dc |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.