Triple
T8930385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen Commercial Vehicles |
E212636
|
entity |
| Predicate | collaborationFocus |
P70762
|
FINISHED |
| Object | vans |
E219178
|
NE 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: vans | Statement: [Volkswagen Commercial Vehicles, collaborationFocus, vans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: vans Context triple: [Volkswagen Commercial Vehicles, collaborationFocus, vans]
-
A.
Vans
chosen
Vans is an American footwear and apparel brand best known for its skate shoes and strong ties to skateboarding and youth street culture.
-
B.
Converse
Converse is a suburban city in the San Antonio metropolitan area of south-central Texas, known primarily as a residential community near Joint Base San Antonio-Randolph.
-
C.
Sneakers
"Sneakers" is a 1992 comedic heist thriller film about a team of security experts who become entangled in espionage over a powerful code-breaking device.
-
D.
VAN
VAN is the standard abbreviation used for the Vancouver Canadians, a Minor League Baseball team based in Vancouver, British Columbia.
-
E.
Scarpe
The Scarpe is a river in northern France that flows through the Artois and Nord regions before joining the Scheldt.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6676d5d881908ce78cbb5561a68b |
completed | April 1, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba63544081909394500f28b34ccb |
completed | April 3, 2026, 1:02 p.m. |
Created at: March 30, 2026, 6:57 p.m.