Triple
T29598834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McLaren Speedtail |
E754381
|
entity |
| Predicate | 0-186mphTime |
P167494
|
FINISHED |
| Object | about 12.8 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: about 12.8 seconds | Statement: [McLaren Speedtail, 0-186mphTime, about 12.8 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 0-186mphTime Context triple: [McLaren Speedtail, 0-186mphTime, about 12.8 seconds]
-
A.
0-200kmhTime
Indicates the time it takes for something, typically a vehicle, to accelerate from 0 to 200 kilometers per hour.
-
B.
0To300KphTime
Indicates the time it takes for something, typically a vehicle, to accelerate from 0 to 300 kilometers per hour.
-
C.
dateOf100mphRecord
Indicates the date on which an entity achieved a 100 mph performance record.
-
D.
maximumSpeedRecord
Indicates that an entity holds the highest recorded speed value (a speed record) within a given context or category.
-
E.
category1UpperBound_mph
Indicates the maximum speed limit, in miles per hour, that defines the upper boundary of category 1.
- F. None of above. chosen
Provenance (4 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_69f0ef84e5d08190a0df17f5930ceed3 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66dba1e208190bc145461b8334701 |
completed | May 2, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 6:20 p.m.