Triple
T17349826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfa Romeo Giulia Quadrifoglio |
E421777
|
entity |
| Predicate | 0-100kmhTimeApprox |
P45714
|
FINISHED |
| Object | 3.9 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: 3.9 s | Statement: [Alfa Romeo Giulia Quadrifoglio, 0-100kmhTimeApprox, 3.9 s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 0-100kmhTimeApprox Context triple: [Alfa Romeo Giulia Quadrifoglio, 0-100kmhTimeApprox, 3.9 s]
-
A.
0-200kmhTime
Indicates the time it takes for something, typically a vehicle, to accelerate from 0 to 200 kilometers per hour.
-
B.
acceleration0To100Kmh
chosen
Indicates the rate or time it takes for something to accelerate from 0 to 100 kilometers per hour.
-
C.
acceleration0To60mph
Indicates the rate or time it takes for something to increase its speed from 0 to 60 miles per hour.
-
D.
accelerationTimeToTopSpeed
Indicates the duration required for something to increase its speed from an initial value to its maximum (top) speed.
-
E.
maxSpeed
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2bd0a881909e71c89773d9273c |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.