Triple
T5755720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolls-Royce Silver Ghost |
E126960
|
entity |
| Predicate | firstCarFittings |
P66196
|
FINISHED |
| Object | silver-plated fittings |
—
|
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: silver-plated fittings | Statement: [Rolls-Royce Silver Ghost, firstCarFittings, silver-plated fittings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCarFittings Context triple: [Rolls-Royce Silver Ghost, firstCarFittings, silver-plated fittings]
-
A.
hasBodyShop
Indicates that one entity operates, owns, or is associated with an auto body repair shop.
-
B.
featuresMechanic
Indicates that something includes or incorporates a particular mechanic as part of its design or functionality.
-
C.
alsoCarries
Indicates that an entity, in addition to other items or responsibilities it has, carries another specified item or load as well.
-
D.
fareBrand
Indicates the specific fare category or brand under which a ticket or booking is sold, defining its associated rules, benefits, and restrictions.
-
E.
spares
Indicates that one entity chooses not to harm, punish, or destroy another entity when it has the power or opportunity to do so.
- 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_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. |
| PDg | Predicate description generation | batch_69c028fec2bc819083f5dca6a8d9d435 |
completed | March 22, 2026, 5:38 p.m. |
Created at: March 22, 2026, 3:49 p.m.