Triple
T5755717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolls-Royce Silver Ghost |
E126960
|
entity |
| Predicate | firstCarBody |
P46205
|
FINISHED |
| Object | open tourer |
—
|
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: open tourer | Statement: [Rolls-Royce Silver Ghost, firstCarBody, open tourer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCarBody Context triple: [Rolls-Royce Silver Ghost, firstCarBody, open tourer]
-
A.
firstGenerationBodyStyle
chosen
Indicates that the subject has the body style corresponding to the first generation of that model or product line.
-
B.
carbodyMaterial
Indicates the material from which a vehicle’s body or main structural shell is made.
-
C.
hasBodyColor
Indicates that an entity possesses a particular body color as one of its attributes.
-
D.
mainVehicle
Indicates that one vehicle is the primary or most important vehicle associated with a given entity or context.
-
E.
firstModel
Indicates that an entity is the initial or earliest model/version in a sequence or series of models.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02906848c8190bf7b0d62f57c27fa |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021cc68648190bb86d049ebe80f12 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.