Triple
T29744420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McLaren Senna |
E752704
|
entity |
| Predicate | brakingPerformance |
P109345
|
FINISHED |
| Object | 100 km/h to 0 in about 30 m |
—
|
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: 100 km/h to 0 in about 30 m | Statement: [McLaren Senna, brakingPerformance, 100 km/h to 0 in about 30 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brakingPerformance Context triple: [McLaren Senna, brakingPerformance, 100 km/h to 0 in about 30 m]
-
A.
brakingTestsPerformed
Indicates that one entity has carried out braking tests on another entity or system.
-
B.
hasBraking
Indicates that an entity possesses or is equipped with a braking capability or braking system.
-
C.
brakeFeature
chosen
Indicates that an entity possesses or is equipped with a particular braking-related feature or capability.
-
D.
brakeType
Indicates the specific kind or system of brakes associated with an entity.
-
E.
brakeApplication
Indicates that a braking action is being applied to slow down or stop an entity.
- 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_69f0d62b064081908c1ae61cd68fb139 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6736514d88190a856c8f0df03f022 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 7:50 p.m.