Triple
T3524878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridgestone |
E74512
|
entity |
| Predicate | roleInMotorsport |
P8241
|
FINISHED |
| Object | official tire supplier |
—
|
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: official tire supplier | Statement: [Bridgestone, roleInMotorsport, official tire supplier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInMotorsport Context triple: [Bridgestone, roleInMotorsport, official tire supplier]
-
A.
hasMotorsportInvolvement
chosen
Indicates that an entity is involved in motorsport, such as through participation, organization, sponsorship, or other direct association with motor racing activities.
-
B.
roleInEngine
Indicates the specific function or responsibility an entity has within an engine or engine-like system.
-
C.
competitionRole
Indicates that an entity holds a specific role, position, or function within a competitive event or contest.
-
D.
racingSeries
Indicates that one entity is a racing series in which the other entity (such as a race, team, or driver) participates or to which it belongs.
-
E.
notableFormerDriver
Indicates that a person was previously a prominent or distinguished driver for the referenced entity (such as a team, organization, or company).
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc68b15881909b407486946ec3c5 |
completed | March 8, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69adae121a048190b03825a001d21f49 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.