Triple
T22059061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1993 Pontiac Excitement 400 |
E545102
|
entity |
| Predicate | carNumberOfWinner |
P146460
|
FINISHED |
| Object | 28 |
—
|
LITERAL FINISHED |
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: 28 | Statement: [1993 Pontiac Excitement 400, carNumberOfWinner, 28]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carNumberOfWinner Context triple: [1993 Pontiac Excitement 400, carNumberOfWinner, 28]
-
A.
championshipWinningCar
Indicates that a car is the specific vehicle that won a particular championship.
-
B.
droveCarNumber
Indicates that a person operated or was driving a specific car identified by its number.
-
C.
numberOfVehicles
Indicates the total count of vehicles associated with a given entity or context.
-
D.
quantityPerCar
Indicates the amount or number of a specified item associated with each individual car.
-
E.
raceWins
Indicates that one participant wins or finishes ahead of another in a race or competitive event.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285ac9608190ab4f89d4ee7350d0 |
completed | April 28, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:27 p.m.