Triple
T36011995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polestar Racing |
E1041736
|
entity |
| Predicate | fieldedCars |
P58194
|
FINISHED |
| Object | Volvo S60 |
—
|
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: Volvo S60 | Statement: [Polestar Racing, fieldedCars, Volvo S60]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldedCars Context triple: [Polestar Racing, fieldedCars, Volvo S60]
-
A.
fieldedCarBrand
chosen
Indicates that a particular car brand has been entered, deployed, or represented (e.g., in a race, event, or lineup) by some agent or organization.
-
B.
notableCar
Indicates that the subject is a car recognized for its significance, prominence, or special interest (e.g., historically, culturally, or technically).
-
C.
championshipWinningCar
Indicates that a car is the specific vehicle that won a particular championship.
-
D.
producedVehicle
Indicates that one entity manufactured or created a particular vehicle.
-
E.
affectedCars
Indicates that certain cars are impacted or influenced by a particular event, condition, or action.
- 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_69f76e2b981881908e4e160607fa82eb |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:07 p.m.