Triple
T4214278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Motor Trend Car of the Year |
E93975
|
entity |
| Predicate | winnerGeneration |
P54786
|
FINISHED |
| Object | sixth generation Chevrolet Camaro |
—
|
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: sixth generation Chevrolet Camaro | Statement: [2016 Motor Trend Car of the Year, winnerGeneration, sixth generation Chevrolet Camaro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerGeneration Context triple: [2016 Motor Trend Car of the Year, winnerGeneration, sixth generation Chevrolet Camaro]
-
A.
winnerManager
Indicates that one entity is the manager or supervisor of another entity who is the winner in a given context or competition.
-
B.
finalGenerationOf
Indicates that one entity represents the last or ultimate generation or iteration in a sequence or lineage of another entity.
-
C.
winnerType
Indicates the category or kind of winner associated with an event, competition, or outcome.
-
D.
winnerRepresents
Indicates that the winner of a competition or contest serves as a representative for a particular group, organization, or entity.
-
E.
winnerState
Indicates the state or condition of an entity that has achieved victory or been declared the winner in a given context.
- F. None of above. chosen
Provenance (4 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_69b3451743608190808f41d17ccf2650 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e098da881909a0cc339cc186627 |
completed | March 12, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69b347efd9b08190bb50f82e4e7fe06d |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e04ef1c81908bb34ae1cbfab1e6 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:04 p.m.