Triple
T36075428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British American Racing |
E1043482
|
entity |
| Predicate | becameWorksTeamOf |
P184937
|
FINISHED |
| Object | Honda |
—
|
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: Honda | Statement: [British American Racing, becameWorksTeamOf, Honda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: becameWorksTeamOf Context triple: [British American Racing, becameWorksTeamOf, Honda]
-
A.
joinsTeamAs
Indicates that one entity becomes a member of a team in a specified role or capacity.
-
B.
teamWorkedFor
Indicates that a person was employed by or played for a particular team for some period of time.
-
C.
conferenceOfTeamWorkedFor
Indicates that a conference is associated with, or organized by, a team for which the referenced entity worked.
-
D.
teamBuilt
Indicates that one entity created, assembled, or established a team that includes or is composed of another entity.
-
E.
associatedWithComedyTeam
Indicates a relationship where an entity is or has been part of, working with, or otherwise linked to a specific comedy team.
- 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_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b69a74a08190b31b1201278a2c57 |
completed | May 3, 2026, 8:56 p.m. |
Created at: May 3, 2026, 4:08 p.m.