Triple
T26461942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brendon Hartley |
E665660
|
entity |
| Predicate | drivesCarClass |
P122426
|
FINISHED |
| Object | LMP1 |
—
|
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: LMP1 | Statement: [Brendon Hartley, drivesCarClass, LMP1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drivesCarClass Context triple: [Brendon Hartley, drivesCarClass, LMP1]
-
A.
hasCarClass
chosen
Indicates that one entity is associated with, or categorized under, a particular class or type of car.
-
B.
mainVehicleClass
Indicates the primary category or type of vehicle to which an entity chiefly belongs.
-
C.
canDrive
Indicates that one entity has the ability or permission to operate a vehicle or drive another entity.
-
D.
intendedVehicleClass
Indicates that one entity is designed or specified to be used with, or is appropriate for, a particular class or category of vehicle.
-
E.
vehicleType
Indicates the specific kind or category of vehicle associated with an entity (e.g., car, bus, bicycle).
- 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_69ee883e812c8190a9b5a9cdb87fee5e |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f612956424819083b0e451342a5811 |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 12:13 a.m.