Triple
T35359287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall of Fame Racing |
E1021427
|
entity |
| Predicate | usedManufacturerInSeason |
P138023
|
FINISHED |
| Object | Chevrolet in 2006 |
—
|
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: Chevrolet in 2006 | Statement: [Hall of Fame Racing, usedManufacturerInSeason, Chevrolet in 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedManufacturerInSeason Context triple: [Hall of Fame Racing, usedManufacturerInSeason, Chevrolet in 2006]
-
A.
usedManufacturer
chosen
Indicates that an entity has employed or sourced products, components, or services from a particular manufacturer.
-
B.
usedByManufacturer
Indicates that a manufacturer makes use of a particular resource, component, method, or tool in its production or operational processes.
-
C.
manufacturerType
Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
-
D.
usedBrandOf
Indicates that one entity made use of or operated an item, product, or service associated with a particular brand.
-
E.
manufacturedBy
Indicates that an item or product is produced or created by a specific manufacturer or maker.
- 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_69f76def44c881908a20e8008572eb44 |
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.