Triple
T24791759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daytona Prototype international |
E620268
|
entity |
| Predicate | bodyworkFeature |
P157136
|
FINISHED |
| Object | manufacturer-branded bodywork |
—
|
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: manufacturer-branded bodywork | Statement: [Daytona Prototype international, bodyworkFeature, manufacturer-branded bodywork]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyworkFeature Context triple: [Daytona Prototype international, bodyworkFeature, manufacturer-branded bodywork]
-
A.
bodyworkBy
Indicates that one entity performs, creates, or is responsible for the bodywork (such as physical treatment, structural work, or crafted body structure) of another entity.
-
B.
chassisFeature
Indicates that a particular feature, component, or characteristic is part of or associated with a chassis.
-
C.
featuresMechanic
Indicates that something includes or incorporates a particular mechanic as part of its design or functionality.
-
D.
bodyNumber
Indicates the numerical position or identifier assigned to a body within a sequence or collection of bodies.
-
E.
carbodyMaterial
Indicates the material from which a vehicle’s body or main structural shell is made.
- 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_69e2fabe77c8819085f7ce6486248139 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f4110424188190889a13976b16b18a |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410a001788190a457e41f53aaf90c |
completed | May 1, 2026, 2:32 a.m. |
Created at: April 18, 2026, 4:47 a.m.