Triple
T9799211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Goodyear Tire & Rubber Company |
E237791
|
entity |
| Predicate | hasNotableSponsorship |
P35686
|
FINISHED |
| Object | motorsport events |
—
|
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: motorsport events | Statement: [The Goodyear Tire & Rubber Company, hasNotableSponsorship, motorsport events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableSponsorship Context triple: [The Goodyear Tire & Rubber Company, hasNotableSponsorship, motorsport events]
-
A.
hasSponsor
chosen
Indicates that one entity financially or otherwise supports another entity, typically in exchange for recognition or other benefits.
-
B.
doesNotSponsor
Indicates that one entity does not provide sponsorship or support to another entity.
-
C.
hasNotablePatron
Indicates that an entity is significantly supported, sponsored, or championed by a distinguished or influential patron.
-
D.
hasNotableCompany
Indicates that an entity is associated with or linked to a company that is considered notable or significant in some context.
-
E.
hasNotableAffiliation
Indicates that an entity is significantly associated or connected with another entity, such as an organization, group, or institution, in a way that is noteworthy or distinguished.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda627cc2c81909ccc2e26751f5e85 |
completed | April 1, 2026, 11:11 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:28 p.m.