Triple
T30521017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audi allroad C5 |
E776692
|
entity |
| Predicate | wheelArchTreatment |
P169814
|
FINISHED |
| Object | unpainted or contrasting plastic cladding |
—
|
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: unpainted or contrasting plastic cladding | Statement: [Audi allroad C5, wheelArchTreatment, unpainted or contrasting plastic cladding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wheelArchTreatment Context triple: [Audi allroad C5, wheelArchTreatment, unpainted or contrasting plastic cladding]
-
A.
wheelArchDesign
Indicates the specific design or configuration of a vehicle’s wheel arch in relation to its body or wheel assembly.
-
B.
hasSideArch
Indicates that one entity possesses or features a secondary or lateral arch structure in relation to another entity.
-
C.
sideArchType
Indicates the architectural style or structural type used for the side arches in a construction or design.
-
D.
materialOfArches
Indicates that a specified material is used in the construction of the arches of a structure or object.
-
E.
sideArchWidth
Indicates the width measurement of a side arch in a structure or object.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68809fa4c8190b7477043dd360dc2 |
completed | May 2, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f6827a7b9c8190ab13605aacc81df9 |
completed | May 2, 2026, 11:02 p.m. |
Created at: April 29, 2026, 8:17 p.m.