Triple
T35916994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1997 World Rally Championship season |
E1038775
|
entity |
| Predicate | manufacturersChampionCar |
P72467
|
FINISHED |
| Object | Subaru Impreza WRC97 |
—
|
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: Subaru Impreza WRC97 | Statement: [1997 World Rally Championship season, manufacturersChampionCar, Subaru Impreza WRC97]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manufacturersChampionCar Context triple: [1997 World Rally Championship season, manufacturersChampionCar, Subaru Impreza WRC97]
-
A.
championCarMake
Indicates that a particular car make is the champion or winning make in a given context, such as a race, season, or competition.
-
B.
driversChampionCar
Indicates that a given car is the one driven by a particular driver when they won the championship.
-
C.
manufacturerChampion
Indicates that a manufacturer actively promotes, supports, or advocates for a particular entity, product, or initiative as a key champion.
-
D.
chassisManufacturerOfWinningCar
Indicates that a manufacturer built the chassis of the car that won a particular race or competition.
-
E.
championshipWinningCar
chosen
Indicates that a car is the specific vehicle that won a particular championship.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.