Triple
T22752650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vy Gjøvikbanen |
E562745
|
entity |
| Predicate | hasParentCompany |
P20316
|
FINISHED |
| Object | Vygruppen AS |
—
|
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: Vygruppen AS | Statement: [Vy Gjøvikbanen, hasParentCompany, Vygruppen AS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vygruppen AS Context triple: [Vy Gjøvikbanen, hasParentCompany, Vygruppen AS]
-
A.
Vygruppen
chosen
Vygruppen is a Norwegian state-owned transport group that operates rail and bus services domestically and in parts of Scandinavia.
-
B.
Varig group
Varig group was a major Brazilian airline conglomerate that operated the country’s former flag carrier Varig and its associated regional and cargo airlines.
-
C.
Aunus Group
The Aunus Group was a Finnish military formation that operated on the eastern front during World War II, particularly in the region of East Karelia.
-
D.
Scala A/S
Scala A/S is a company known for developing specialized measurement and control instruments, including the Scala MM400.
-
E.
Greenland Group
Greenland Group is a major Chinese state-owned real estate and investment conglomerate known for large-scale property developments and diversified global business interests.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179baa85881909140f41f2428cc98 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:24 p.m.