Triple
T25866812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lexus LC |
E651639
|
entity |
| Predicate | frontGrilleType |
P160295
|
FINISHED |
| Object | spindle grille |
—
|
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: spindle grille | Statement: [Lexus LC, frontGrilleType, spindle grille]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontGrilleType Context triple: [Lexus LC, frontGrilleType, spindle grille]
-
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.
frontMaterial
Indicates that one entity is the material that forms the front surface or front-facing part of another entity.
-
C.
frontEnginePosition
Indicates that the engine of a vehicle is located at the front portion of the vehicle.
-
D.
typeOfFront
Indicates that one entity is a specific kind or category of front (e.g., weather or battle front) relative to another.
-
E.
partOfFront
Indicates that one entity constitutes a component or section located at the front portion of another entity.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f602d8f9888190ba2cacc723cc9633 |
completed | May 2, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 22, 2026, 8:07 a.m.