Triple
T3812354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buick Skylark |
E93164
|
entity |
| Predicate | 1953ModelType |
P51992
|
FINISHED |
| Object | limited-production luxury convertible |
—
|
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: limited-production luxury convertible | Statement: [Buick Skylark, 1953ModelType, limited-production luxury convertible]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 1953ModelType Context triple: [Buick Skylark, 1953ModelType, limited-production luxury convertible]
-
A.
lastModelProduced
Indicates that one entity is the most recently created or generated model associated with another entity.
-
B.
firstModel
Indicates that an entity is the initial or earliest model/version in a sequence or series of models.
-
C.
modelProduced
Indicates that a particular model has generated or produced a specified output, result, or artifact.
-
D.
possibleModel
Indicates that one entity can serve as a potential or candidate model or template for another entity.
-
E.
introducedAsModel
Indicates that one entity is presented or identified to others in the role or capacity of a model.
- 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee7482d708190a3ec74745b102a4c |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef14f9bb4819098e64b527b546d74 |
completed | March 9, 2026, 4:11 p.m. |
Created at: March 9, 2026, 3:16 p.m.