Triple
T36075363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brawn GP |
E1043481
|
entity |
| Predicate | driversTitleSeason |
P186001
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Brawn GP, driversTitleSeason, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: driversTitleSeason Context triple: [Brawn GP, driversTitleSeason, 2009]
-
A.
driversTitleWinner
Indicates that the subject is the driver who won the drivers’ championship title in the referenced competition or season.
-
B.
driversTitlesWithCar
Indicates that drivers are associated with specific titles in the context of particular cars they drive.
-
C.
regularSeasonTitle
Indicates that a team or competitor won the championship or top standing for the regular season portion of a competition or league.
-
D.
classTitleSeason
Indicates that a title (such as a show or series) is associated with a specific season within its class or collection.
-
E.
coachTitle
Indicates the formal title or designation held by a coach in relation to a team, organization, or role.
- 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:08 p.m.