Triple
T2977954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz CLA |
E80442
|
entity |
| Predicate | aerodynamicDragCoefficient |
P8447
|
FINISHED |
| Object | 0.23 (CLA 180 BlueEfficiency Edition, approx.) |
—
|
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: 0.23 (CLA 180 BlueEfficiency Edition, approx.) | Statement: [Mercedes-Benz CLA, aerodynamicDragCoefficient, 0.23 (CLA 180 BlueEfficiency Edition, approx.)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aerodynamicDragCoefficient Context triple: [Mercedes-Benz CLA, aerodynamicDragCoefficient, 0.23 (CLA 180 BlueEfficiency Edition, approx.)]
-
A.
dragCoefficient
chosen
Indicates the dimensionless proportionality factor that relates the drag force experienced by an object moving through a fluid to its shape, flow conditions, and reference area.
-
B.
windResistance
Indicates the degree to which an entity opposes or reduces the effect of wind acting upon it.
-
C.
aerodynamicsFeature
Indicates that one entity possesses or is characterized by a specific aerodynamic property, component, or design feature affecting airflow and motion through air.
-
D.
aerodynamicGoal
Indicates a goal or objective specifically related to aerodynamic performance, behavior, or properties in a given context.
-
E.
drivingForce
Indicates a causal influence or motivating factor that propels or significantly shapes another process, event, or outcome.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad999b0d50819093dac7678b887a9b |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad96105a708190a9ec4838cbcb1207 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.