Triple
T33045396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1970 Dutch Grand Prix |
E845579
|
entity |
| Predicate | winningCar |
P176094
|
FINISHED |
| Object | Lotus 72 |
—
|
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: Lotus 72 | Statement: [1970 Dutch Grand Prix, winningCar, Lotus 72]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningCar Context triple: [1970 Dutch Grand Prix, winningCar, Lotus 72]
-
A.
championshipWinningCar
Indicates that a car is the specific vehicle that won a particular championship.
-
B.
raceWon
Indicates that one participant has achieved victory in a race or competitive event over others.
-
C.
chassisManufacturerOfWinningCar
Indicates that a manufacturer built the chassis of the car that won a particular race or competition.
-
D.
carNumberOfWinner
Indicates the car number assigned to the entity 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. 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_69f3495242e48190996a2cb2beab5455 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db6a38d881909ecc75cc527910f2 |
completed | May 3, 2026, 5:21 a.m. |
Created at: May 1, 2026, 1:24 a.m.