Triple
T3752817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spyker C12 Zagato |
E81370
|
entity |
| Predicate | stylingTheme |
P20708
|
FINISHED |
| Object | aviation-inspired design |
—
|
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: aviation-inspired design | Statement: [Spyker C12 Zagato, stylingTheme, aviation-inspired design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stylingTheme Context triple: [Spyker C12 Zagato, stylingTheme, aviation-inspired design]
-
A.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
B.
themedAs
chosen
Indicates that something is characterized, styled, or organized according to a particular theme or motif.
-
C.
stylingFeature
Indicates a visual or design-related characteristic applied to an entity, such as formatting, layout, or aesthetic treatment.
-
D.
themeExamples
Indicates that the related entity serves as an example or illustration of the theme expressed by the subject.
-
E.
followsTheme
Indicates that one entity adheres to, is guided by, or is structured according to the theme established by another entity.
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb92135c819093f6d616d3ad28ff |
completed | March 8, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69adc04adebc819088d7f36d0ac343a6 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.