Triple
T32608581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen Group powertrain plants |
E833590
|
entity |
| Predicate | transitionFocus |
P197932
|
FINISHED |
| Object | electrified powertrains |
—
|
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: electrified powertrains | Statement: [Volkswagen Group powertrain plants, transitionFocus, electrified powertrains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transitionFocus Context triple: [Volkswagen Group powertrain plants, transitionFocus, electrified powertrains]
-
A.
transitionFeature
Indicates a characteristic or element that defines or influences the change from one state, condition, or phase to another.
-
B.
transitionTo
Indicates a change in state, condition, or phase from one defined status to another.
-
C.
transitionUse
Indicates a relationship where one state, condition, or resource is used as part of moving or changing into another state, condition, or resource.
-
D.
transitionState
Indicates a change in condition or phase from one defined state to another within a process or system.
-
E.
transition
Indicates a change of state or condition from one form, phase, or situation to another.
- F. None of above. chosen
Provenance (4 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_69f3492bfa648190b6ae472074634e29 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69feba0f09508190b3e871c62b19ec7f |
completed | May 9, 2026, 4:37 a.m. |
| PD | Predicate disambiguation | batch_69feb957fe7c8190969fb31a6d1a59c8 |
completed | May 9, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69feba0e362c81909883a3f24a4a9545 |
completed | May 9, 2026, 4:37 a.m. |
Created at: May 1, 2026, 1:05 a.m.