Triple
T1980641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW X7 |
E43016
|
entity |
| Predicate | faceliftFeature |
P35748
|
FINISHED |
| Object | split headlight design |
—
|
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: split headlight design | Statement: [BMW X7, faceliftFeature, split headlight design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: faceliftFeature Context triple: [BMW X7, faceliftFeature, split headlight design]
-
A.
facelift
Indicates that an entity undergoes a cosmetic surgical procedure intended to tighten or rejuvenate its facial appearance.
-
B.
faceliftYear
Indicates the year in which an entity underwent a significant redesign, update, or cosmetic revision.
-
C.
faceType
Indicates the specific shape or structural category of a face that an entity possesses or is characterized by.
-
D.
facadeFeature
Indicates that one element functions as a distinct architectural or design feature on the façade of another structure.
-
E.
faceValueType
Indicates the type or category of a financial instrument’s face (nominal) value, such as how that value is defined or represented.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb96f932881908bebfc4176fda7c0 |
completed | March 7, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69abb798d288819083132cf14605bd02 |
completed | March 7, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69abb96e07c08190beed60096e9d71b4 |
completed | March 7, 2026, 5:36 a.m. |
Created at: March 4, 2026, 7:37 p.m.