Triple
T19027165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VG AS |
E465637
|
entity |
| Predicate | hasSubsidiaryBrand |
P25079
|
FINISHED |
| Object | VGTV |
—
|
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: VGTV | Statement: [VG AS, hasSubsidiaryBrand, VGTV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VGTV Context triple: [VG AS, hasSubsidiaryBrand, VGTV]
-
A.
VGTV
chosen
VGTV is the online TV and video streaming platform associated with the Norwegian newspaper Verdens Gang (VG), offering news, entertainment, and original programming.
-
B.
GTV
GTV is a Japanese television network that has broadcast popular anime series such as Demon Slayer: Kimetsu no Yaiba.
-
C.
GTV
GTV is a Philippine free-to-air television network operated by GMA Network Inc., offering a mix of news, entertainment, and sports programming.
-
D.
VTV3
VTV3 is a Vietnamese national television channel known for broadcasting popular entertainment programs, reality shows, and game shows.
-
E.
BTV
BTV is the three-letter IATA airport code for Burlington International Airport, serving the Burlington, Vermont area in the United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d73dc404819092059e496662d151 |
completed | April 20, 2026, 7:35 a.m. |
Created at: April 10, 2026, 12:02 p.m.