Triple
T30712995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen Tiguan (second generation) |
E781941
|
entity |
| Predicate | LWBNameInNorthAmerica |
P124697
|
FINISHED |
| Object | Volkswagen Tiguan |
—
|
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 Tiguan | Statement: [Volkswagen Tiguan (second generation), LWBNameInNorthAmerica, Volkswagen Tiguan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LWBNameInNorthAmerica Context triple: [Volkswagen Tiguan (second generation), LWBNameInNorthAmerica, Volkswagen Tiguan]
-
A.
countrySpecificName
chosen
Indicates that an entity has a name or label that is specific to, or used within, a particular country.
-
B.
knownAsInCanada
Indicates that an entity is referred to or recognized by a particular name specifically within the context of Canada.
-
C.
eraNameUsedInDocuments
Indicates that a particular era name is used as a temporal reference in the specified documents.
-
D.
hasEnglishName
Indicates that an entity is associated with a name expressed in the English language.
-
E.
colloquialNameOf
Indicates that one entity is an informal, colloquial, or commonly used name referring to another 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_69f224acd24481908ed5f96f0d69b5dd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:35 p.m.