Triple
T35329827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tracker Boats |
E1020287
|
entity |
| Predicate | sponsorshipArea |
P49315
|
FINISHED |
| Object | NASCAR |
—
|
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: NASCAR | Statement: [Tracker Boats, sponsorshipArea, NASCAR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsorshipArea Context triple: [Tracker Boats, sponsorshipArea, NASCAR]
-
A.
sponsorshipAsset
Indicates a relationship where one party provides sponsorship resources or support to another party, event, or initiative as an asset of that sponsorship arrangement.
-
B.
sponsorField
chosen
Indicates that one entity acts as a sponsor specifically in the context of a particular field, domain, or area associated with another entity.
-
C.
sponsorPlacement
Indicates that one entity financially supports or endorses another entity in exchange for a specified form of promotional placement.
-
D.
sponsoredIn
Indicates that one entity provides financial or material support for another entity’s participation, presence, or activity within a particular context, event, or medium.
-
E.
sponsorshipName
Indicates the name or title associated with a sponsorship relationship between entities.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.