Triple
T35244838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XPeng P7 |
E1017628
|
entity |
| Predicate | hasPanoramicRoofOption |
P200996
|
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: [XPeng P7, hasPanoramicRoofOption, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPanoramicRoofOption Context triple: [XPeng P7, hasPanoramicRoofOption, yes]
-
A.
hasRetractableRoofPanels
Indicates that an object is equipped with roof panels that can be extended or withdrawn, allowing the roof to open or close as needed.
-
B.
hasHighRoof
Indicates that an entity possesses a roof whose height is significantly greater than typical or standard roofs.
-
C.
hasRetractableRoofProject
Indicates that an entity is associated with a project involving the design, construction, or implementation of a retractable roof.
-
D.
hasRetractableRoofVenue
Indicates that a venue possesses a roof structure that can be opened or closed as needed.
-
E.
hasPanoramicView
Indicates that something offers a wide, unobstructed view over a broad surrounding area.
- 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_69f76de235048190b990070c23c51b6b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffc083a54c8190ac80d05ee8d20a6b |
completed | May 9, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69ffbfeb05b88190b4d50ce8124004d9 |
completed | May 9, 2026, 11:14 p.m. |
| PDg | Predicate description generation | batch_69ffc082a4e881908a92313d2c755afe |
completed | May 9, 2026, 11:17 p.m. |
Created at: May 3, 2026, 4:02 p.m.