Triple
T35752568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIA Formula One 25–18–15–12–10–8–6–4–2–1 scoring system |
E1033354
|
entity |
| Predicate | maximumPointsPerRaceForDriver |
P164874
|
FINISHED |
| Object | 25 |
—
|
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: 25 | Statement: [FIA Formula One 25–18–15–12–10–8–6–4–2–1 scoring system, maximumPointsPerRaceForDriver, 25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumPointsPerRaceForDriver Context triple: [FIA Formula One 25–18–15–12–10–8–6–4–2–1 scoring system, maximumPointsPerRaceForDriver, 25]
-
A.
maximumDriversPerCarInEnduranceRaces
Indicates the maximum number of drivers that are allowed to share or be assigned to a single car in endurance races.
-
B.
fastestLapBonusPoints
Indicates that bonus points are awarded to an entity for achieving the fastest lap in a given event or context.
-
C.
achievedPolePositionAt
Indicates that an entity secured the top starting position (pole position) at a specified event or location.
-
D.
grandPrixPointsAwarded
chosen
Indicates that a certain number of championship points are awarded to a participant based on their result in a Grand Prix event.
-
E.
raceWins
Indicates that one participant wins or finishes ahead of another in a race or competitive event.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
Created at: May 3, 2026, 4:06 p.m.