Triple
T14608676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW M Performance (for i4 M50) |
E342898
|
entity |
| Predicate | aerodynamicPartsInclude |
P19885
|
FINISHED |
| Object | front splitter |
—
|
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: front splitter | Statement: [BMW M Performance (for i4 M50), aerodynamicPartsInclude, front splitter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aerodynamicPartsInclude Context triple: [BMW M Performance (for i4 M50), aerodynamicPartsInclude, front splitter]
-
A.
aerodynamicsFeature
chosen
Indicates that one entity possesses or is characterized by a specific aerodynamic property, component, or design feature affecting airflow and motion through air.
-
B.
hasAirComponent
Indicates that something includes, contains, or is associated with an air-related component or element.
-
C.
aerodynamicsDeveloper
Indicates that an entity (typically a person or organization) is responsible for designing, developing, or improving the aerodynamic properties of another entity.
-
D.
aerodynamicsRules
Indicates that certain aerodynamic principles or laws govern how an object moves through air or another fluid medium.
-
E.
wingConfiguration
Indicates how the wings of an aircraft or creature are arranged or structured relative to its body and to each other.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44d327c8190a8d20568429d0f80 |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656f9f4c81909f815b6629a9ee39 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.