Triple
T17963710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen MEB platform |
E449147
|
entity |
| Predicate | segmentTargeted |
P61966
|
FINISHED |
| Object | mass-market electric vehicles |
—
|
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: mass-market electric vehicles | Statement: [Volkswagen MEB platform, segmentTargeted, mass-market electric vehicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: segmentTargeted Context triple: [Volkswagen MEB platform, segmentTargeted, mass-market electric vehicles]
-
A.
promotionTarget
Indicates that one entity is the intended recipient or destination of a promotional action initiated by another entity.
-
B.
targetedActivity
Indicates that an activity is specifically directed or focused toward a particular entity, group, or objective.
-
C.
targetedBecauseOf
Indicates that one entity is made a target of an action, harm, or scrutiny specifically due to possessing a particular attribute, identity, or characteristic.
-
D.
intendedTargets
chosen
Indicates that an action, message, or object is specifically directed toward or meant to affect particular target entities.
-
E.
usesTargetingSystem
Indicates that an entity employs or relies on a specific targeting system to aim at or select a target.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b135cd2c8190a6190cf6611dbe08 |
completed | April 19, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:22 a.m.