Triple
T2962764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VR Commodore |
E80085
|
entity |
| Predicate | frontDesign |
P45253
|
FINISHED |
| Object | revised grille and headlamps compared with VP |
—
|
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: revised grille and headlamps compared with VP | Statement: [VR Commodore, frontDesign, revised grille and headlamps compared with VP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontDesign Context triple: [VR Commodore, frontDesign, revised grille and headlamps compared with VP]
-
A.
frontType
Indicates the type or category of a front (e.g., boundary or leading side) that one entity presents or forms relative to another.
-
B.
front
Indicates that one entity is located directly before or facing another entity along a primary viewing or movement direction.
-
C.
frontDesignSameAsBack
Indicates that the design on the front side of an object is identical to the design on its back side.
-
D.
frontSightType
Indicates the specific kind or design of the front sight used on an object, typically a firearm or similar aiming device.
-
E.
designBureau
Indicates that an entity functions as a design bureau responsible for planning, developing, or engineering designs for another entity or project.
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9955e6488190bea170724d5fbfe8 |
completed | March 8, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69ad960e71f8819088179d11248c6ed0 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad98379fac8190a4dfe530787703c9 |
completed | March 8, 2026, 3:39 p.m. |
Created at: March 8, 2026, 2:57 p.m.