Triple
T20707963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vygruppen |
E508953
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Vy Tåg |
—
|
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: Vy Tåg | Statement: [Vygruppen, hasSubsidiary, Vy Tåg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vy Tåg Context triple: [Vygruppen, hasSubsidiary, Vy Tåg]
-
A.
Vy Tåg
chosen
Vy Tåg is a Swedish train operating company that runs regional and long-distance passenger rail services, including routes serving Arlanda Central Station.
-
B.
Mälartåg
Mälartåg is a regional train operator in Sweden that provides passenger rail services across the Mälardalen region, including connections via Arlanda Central Station.
-
C.
Pendeltåg
Pendeltåg is Stockholm's commuter rail system, connecting the city with its surrounding suburbs and regional towns.
-
D.
Snälltåget
Snälltåget is a Swedish long-distance train operator known for its budget-friendly intercity and international services, including routes to destinations such as Stockholm, Malmö, and Berlin.
-
E.
Sibelius train
The Sibelius train was a former international passenger rail service that connected Helsinki, Finland, with Saint Petersburg, Russia, prior to being superseded by the high-speed Allegro service.
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1952e888190877b79933970f7b0 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:14 p.m.