Triple
T5832652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peugeot Boxer |
E129387
|
entity |
| Predicate | hasElectricVariant |
P12594
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Peugeot Boxer, hasElectricVariant, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectricVariant Context triple: [Peugeot Boxer, hasElectricVariant, true]
-
A.
notableElectricVariant
chosen
Indicates that one entity is a notable or significant electric-powered version or variant of another entity.
-
B.
hasElectricCharge
Indicates that an entity possesses a nonzero electric charge as a physical property.
-
C.
featuresElectricSide
Indicates that something includes or is equipped with an electric-powered side or component as part of its design or functionality.
-
D.
electricMotorType
Indicates the specific kind or category of electric motor associated with an entity.
-
E.
hasElectrificationStatus
Indicates that an entity possesses a specified type or level of electrification (e.g., electrified, non-electrified, partially electrified).
- 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_69c0084af79c81908af128ccc29983d0 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03341e5888190a5f219b6f92cb161 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:54 p.m.