Triple
T2274073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford D2C platform (fifth generation) |
E50727
|
entity |
| Predicate | stylingEnables |
P37629
|
FINISHED |
| Object | retro-inspired pony car 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: retro-inspired pony car design | Statement: [Ford D2C platform (fifth generation), stylingEnables, retro-inspired pony car design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stylingEnables Context triple: [Ford D2C platform (fifth generation), stylingEnables, retro-inspired pony car design]
-
A.
stylingFeature
Indicates a visual or design-related characteristic applied to an entity, such as formatting, layout, or aesthetic treatment.
-
B.
styleInFull
Indicates that something is presented, written, or expressed in its complete, unabbreviated, or fully detailed form.
-
C.
styleTendsTo
Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
-
D.
featuresStyle
Indicates that one entity exhibits, incorporates, or is characterized by a particular style associated with another entity.
-
E.
stagingStyle
Indicates how an event, performance, or scene is arranged, presented, or visually organized in a given context.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc39c6ff0819081a07696f1c29990 |
completed | March 7, 2026, 6:20 a.m. |
| PD | Predicate disambiguation | batch_69abbdb7719081909143efa8f48df4e4 |
completed | March 7, 2026, 5:55 a.m. |
| PDg | Predicate description generation | batch_69abc39b2f548190a38f604e0d36db3a |
completed | March 7, 2026, 6:20 a.m. |
Created at: March 4, 2026, 7:48 p.m.