Triple
T35887082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audi Brussels plant |
E1037677
|
entity |
| Predicate | previousBrandProduced |
P200271
|
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: [Audi Brussels plant, previousBrandProduced, Volkswagen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousBrandProduced Context triple: [Audi Brussels plant, previousBrandProduced, Volkswagen]
-
A.
primaryBrandProduced
Indicates that one entity is the main or principal brand that another entity manufactures or produces.
-
B.
formerBrand
Indicates that an entity was previously used or recognized as a brand for another entity but is no longer its current brand.
-
C.
laterBrandOf
Indicates that one brand is a subsequent or successor brand to another, coming into use at a later time.
-
D.
formerlyMarketedBy
Indicates that an entity was previously marketed or promoted by another entity, but is no longer marketed by that same party.
-
E.
formerManufacturer
Indicates that an entity previously manufactured another entity but no longer does so.
- 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff7dcedab08190a719a707d03306e2 |
completed | May 9, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69ff7d0119348190ad462554e81190fe |
completed | May 9, 2026, 6:29 p.m. |
| PDg | Predicate description generation | batch_69ff7dce25d88190b167a014661bc4ba |
completed | May 9, 2026, 6:32 p.m. |
Created at: May 3, 2026, 4:06 p.m.