Triple
T24577206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1980 WRC manufacturers' championship |
E608146
|
entity |
| Predicate | winningCarModel |
P72467
|
FINISHED |
| Object | Fiat 131 Abarth |
—
|
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: Fiat 131 Abarth | Statement: [1980 WRC manufacturers' championship, winningCarModel, Fiat 131 Abarth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningCarModel Context triple: [1980 WRC manufacturers' championship, winningCarModel, Fiat 131 Abarth]
-
A.
championshipWinningCar
chosen
Indicates that a car is the specific vehicle that won a particular championship.
-
B.
CarOfTheYearIs
Indicates that a particular car has been designated as the "Car of the Year" for a given award, region, or time period.
-
C.
engineManufacturerOfWinningCar
Indicates that an entity is the manufacturer of the engine used in the car that won a particular race or competition.
-
D.
chassisManufacturerOfWinningCar
Indicates that a manufacturer built the chassis of the car that won a particular race or competition.
-
E.
winningManufacturer
Indicates that a manufacturer is the one that won a particular competition, contract, award, or selection process.
- 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_69e2c4cdab6c8190aae6e5d3de55c95e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a97be2ac8190aecf5e54a37e266a |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:29 a.m.