Triple
T18976970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrari 488 GTB |
E464319
|
entity |
| Predicate | 0-62mphTime |
P8445
|
FINISHED |
| Object | about 3.0 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 3.0 s | Statement: [Ferrari 488 GTB, 0-62mphTime, about 3.0 s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 0-62mphTime Context triple: [Ferrari 488 GTB, 0-62mphTime, about 3.0 s]
-
A.
0-200kmhTime
Indicates the time it takes for something, typically a vehicle, to accelerate from 0 to 200 kilometers per hour.
-
B.
acceleration0To60mph
chosen
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.
maxSpeed
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
-
E.
category1UpperBound_mph
Indicates the maximum speed limit, in miles per hour, that defines the upper boundary of category 1.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d620bba48190a300dba9733592b0 |
completed | April 20, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, noon