Triple
T28807743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comfortline |
E727425
|
entity |
| Predicate | offeredByManufacturer |
P51342
|
FINISHED |
| Object | Volkswagen |
—
|
NE NERFINISHED |
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: Volkswagen | Statement: [Comfortline, offeredByManufacturer, Volkswagen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offeredByManufacturer Context triple: [Comfortline, offeredByManufacturer, Volkswagen]
-
A.
usedByManufacturer
Indicates that a manufacturer makes use of a particular resource, component, method, or tool in its production or operational processes.
-
B.
usedManufacturer
Indicates that an entity has employed or sourced products, components, or services from a particular manufacturer.
-
C.
manufacturerSupportedBy
Indicates that a manufacturer receives backing, assistance, or endorsement from another party.
-
D.
manufacturedBy
Indicates that an item or product is produced or created by a specific manufacturer or maker.
-
E.
isOfferedBy
chosen
Indicates that a service, product, or opportunity is provided or made available by a particular entity.
- 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: April 28, 2026, 6:29 a.m.