Triple
T35564037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 NASCAR Cup Series Championship Race at Homestead-Miami Speedway |
E1027718
|
entity |
| Predicate | manufacturerOfWinningCar |
P183252
|
FINISHED |
| Object | Ford |
—
|
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: Ford | Statement: [2018 NASCAR Cup Series Championship Race at Homestead-Miami Speedway, manufacturerOfWinningCar, Ford]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manufacturerOfWinningCar Context triple: [2018 NASCAR Cup Series Championship Race at Homestead-Miami Speedway, manufacturerOfWinningCar, Ford]
-
A.
engineManufacturerOfWinningCar
Indicates that an entity is the manufacturer of the engine used in the car that won a particular race or competition.
-
B.
chassisManufacturerOfWinningCar
Indicates that a manufacturer built the chassis of the car that won a particular race or competition.
-
C.
winningCar
Indicates that a particular car is the one that has achieved first place or victory in a race or competition.
-
D.
winningManufacturer
Indicates that a manufacturer is the one that won a particular competition, contract, award, or selection process.
-
E.
championshipWinningCar
Indicates that a car is the specific vehicle that won a particular championship.
- F. None of above. chosen
Provenance (4 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79a53ccc481908421ae16e69aa8a4 |
completed | May 3, 2026, 6:56 p.m. |
Created at: May 3, 2026, 4:04 p.m.