Triple
T23912873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rob Walker Racing Team |
E601991
|
entity |
| Predicate | usedChassisFrom |
P25550
|
FINISHED |
| Object | Cooper |
—
|
NE NERFINISHED |
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: Cooper | Statement: [Rob Walker Racing Team, usedChassisFrom, Cooper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedChassisFrom Context triple: [Rob Walker Racing Team, usedChassisFrom, Cooper]
-
A.
usedChassisFor
Indicates that one entity employed or incorporated another entity’s chassis as the structural base or framework for its construction or operation.
-
B.
chassisOrigin
Indicates the place or source from which a chassis was originally produced, manufactured, or derived.
-
C.
chassis
Indicates that one entity serves as the structural frame or supporting base (chassis) for another entity.
-
D.
chassisSupplier
chosen
Indicates that one entity serves as the supplier or provider of the chassis for another entity.
-
E.
chassisCode
Indicates the specific chassis designation or code assigned to a vehicle model to distinguish its underlying structural platform or variant.
- 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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce96c47881908ccb17ef9f750676 |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:39 p.m.