Triple
T11877350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motor Trend Car of the Year 1966 |
E282561
|
entity |
| Predicate | hasWinnerBodyStyle |
P35740
|
FINISHED |
| Object | two-door coupe (Oldsmobile Toronado) |
—
|
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: two-door coupe (Oldsmobile Toronado) | Statement: [Motor Trend Car of the Year 1966, hasWinnerBodyStyle, two-door coupe (Oldsmobile Toronado)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWinnerBodyStyle Context triple: [Motor Trend Car of the Year 1966, hasWinnerBodyStyle, two-door coupe (Oldsmobile Toronado)]
-
A.
winnerBodyStyle
chosen
Indicates that one entity is the body style (e.g., sedan, SUV) associated with the winning entry or outcome in a competition or selection.
-
B.
hasWinnerType
Indicates that an entity has a specific type or category of winner associated with it.
-
C.
hasBodyColor
Indicates that an entity possesses a particular body color as one of its attributes.
-
D.
hasStyle
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
E.
hasWinnerEngraved
Indicates that the winner of a competition, event, or award is permanently recorded or inscribed on an associated object or medium.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d39d2934819093b9f7006f45e5cb |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.