Triple
T28107481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2004 Formula One World Championship |
E710401
|
entity |
| Predicate | driversChampionFastestLaps |
P165122
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [2004 Formula One World Championship, driversChampionFastestLaps, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: driversChampionFastestLaps Context triple: [2004 Formula One World Championship, driversChampionFastestLaps, 10]
-
A.
driversChampionWins
Indicates the number of championship titles won by a particular driver.
-
B.
fastestLapDriverCountry
Indicates the country associated with the driver who recorded the fastest lap in a given race or session.
-
C.
fastestLapDriver
Indicates the driver who recorded the quickest lap time in a given race or session.
-
D.
driversChampionMargin
Indicates the points difference by which the drivers’ champion finished ahead of the next-best competitor in the championship standings.
-
E.
driversChampionships
Indicates the number of drivers’ championship titles an entity has won or is associated with.
- 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 27, 2026, 9:09 p.m.