Triple
T38335867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW M340i |
E1037953
|
entity |
| Predicate | lightingOption |
P1280
|
FINISHED |
| Object | adaptive LED headlights |
—
|
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: adaptive LED headlights | Statement: [BMW M340i, lightingOption, adaptive LED headlights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightingOption Context triple: [BMW M340i, lightingOption, adaptive LED headlights]
-
A.
lightingColor
Indicates the color or hue of the lighting applied to or associated with an entity.
-
B.
hasLighting
chosen
Indicates that one entity is equipped with, contains, or is characterized by a particular type or configuration of lighting.
-
C.
laterLightingType
Indicates that one lighting type occurs or is applied after another in time.
-
D.
lightingFunction
Indicates that one entity serves as a source or method of illumination affecting another entity or environment.
-
E.
lightType
Indicates the specific category or kind of light associated with an entity or lighting setup.
- 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_69f76e20d65c81909619ac0dd85c56f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcc7a4d7f881908b43b960911b81e9 |
completed | May 7, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69fcc589720c819089c8f500fea3c86a |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.