Triple
T4668068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peugeot 208 |
E102895
|
entity |
| Predicate | electricVariantRange |
P26736
|
FINISHED |
| Object | approximately 340 km WLTP (e-208, early versions) |
—
|
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: approximately 340 km WLTP (e-208, early versions) | Statement: [Peugeot 208, electricVariantRange, approximately 340 km WLTP (e-208, early versions)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electricVariantRange Context triple: [Peugeot 208, electricVariantRange, approximately 340 km WLTP (e-208, early versions)]
-
A.
notableElectricVariant
Indicates that one entity is a notable or significant electric-powered version or variant of another entity.
-
B.
carTypeVariant
Indicates that one car type is a specific variant or version of another car type.
-
C.
electricMotorType
Indicates the specific kind or category of electric motor associated with an entity.
-
D.
electricRange
chosen
Indicates the maximum distance an electrically powered device or vehicle can travel or operate solely on electric power before needing to recharge.
-
E.
wheelbaseVariantOf
Indicates a relationship where one vehicle’s wheelbase configuration is a variant or modified version of another vehicle’s wheelbase.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd655aceb081908100ffc0498fe183 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6215864c8190b50ba0f63ba87d0c |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.