Triple
T30242050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen California |
E768942
|
entity |
| Predicate | hasPopUpRoof |
P23307
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Volkswagen California, hasPopUpRoof, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPopUpRoof Context triple: [Volkswagen California, hasPopUpRoof, yes]
-
A.
hasHighRoof
Indicates that an entity possesses a roof whose height is significantly greater than typical or standard roofs.
-
B.
hasRetractableRoofPanels
chosen
Indicates that an object is equipped with roof panels that can be extended or withdrawn, allowing the roof to open or close as needed.
-
C.
hasRetractableRoofVenue
Indicates that a venue possesses a roof structure that can be opened or closed as needed.
-
D.
hasRetractableRoofProject
Indicates that an entity is associated with a project involving the design, construction, or implementation of a retractable roof.
-
E.
hasRoofShape
Indicates that one entity possesses or is characterized by a specific shape or form of roof.
- 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_69f224820c048190b1435c4cc145acf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: April 29, 2026, 7:39 p.m.