Triple
T26462090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Speed |
E665663
|
entity |
| Predicate | rallycrossTeamDrivenFor |
P60038
|
FINISHED |
| Object | Volkswagen Andretti Rallycross |
—
|
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: Volkswagen Andretti Rallycross | Statement: [Scott Speed, rallycrossTeamDrivenFor, Volkswagen Andretti Rallycross]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rallycrossTeamDrivenFor Context triple: [Scott Speed, rallycrossTeamDrivenFor, Volkswagen Andretti Rallycross]
-
A.
racingTeam
Indicates that one entity is a racing team associated with, employing, or represented by the other entity in a competitive racing context.
-
B.
drivingChallenge
Indicates a situation in which driving is made difficult or demanding due to conditions, obstacles, or required skills.
-
C.
raceComponent
Indicates that one entity is a constituent part, segment, or stage within a larger race or racing event involving another entity.
-
D.
drivingDiscipline
Indicates the manner and quality of how an entity operates a vehicle, especially in terms of adherence to traffic rules and safe driving behavior.
-
E.
racedForTeam
chosen
Indicates that an individual competed in races as a member or representative of a specific team.
- 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_69ee883e812c8190a9b5a9cdb87fee5e |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6129651808190b715548c968b3c22 |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 12:13 a.m.