Triple
T29707599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shelby Daytona Coupe |
E751677
|
entity |
| Predicate | championshipClass |
P128813
|
FINISHED |
| Object | GT class over 2.0 litres |
—
|
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: GT class over 2.0 litres | Statement: [Shelby Daytona Coupe, championshipClass, GT class over 2.0 litres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championshipClass Context triple: [Shelby Daytona Coupe, championshipClass, GT class over 2.0 litres]
-
A.
championshipLevel
Indicates the competitive tier or division in which a championship or title contest is held.
-
B.
championshipFor
Indicates that a championship event or title is held, awarded, or designated for a particular competition, season, or category.
-
C.
championshipName
Indicates the name or title assigned to a specific championship event or competition.
-
D.
championshipSeries
Indicates a competitive series of contests or games that determines a champion between qualifying participants.
-
E.
motorsportClass
chosen
Indicates that one entity is classified as a specific motorsport category or division associated with another entity.
- 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 28, 2026, 7:28 p.m.