Triple
T35564153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2015 Daytona 500 |
E1027720
|
entity |
| Predicate | winnerCarModel |
P176094
|
FINISHED |
| Object | Ford Fusion |
—
|
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 Fusion | Statement: [2015 Daytona 500, winnerCarModel, Ford Fusion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerCarModel Context triple: [2015 Daytona 500, winnerCarModel, Ford Fusion]
-
A.
championshipWinningCar
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.
winningCar
chosen
Indicates that a particular car is the one that has achieved first place or victory in a race or competition.
-
D.
winnerModelYear
Indicates that a model was the winning model for a particular year.
-
E.
carModel
Indicates the specific model designation of a car within a particular make or brand.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.