Triple
T18597384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viby J railway station |
E454526
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Banedanmark |
—
|
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: Banedanmark | Statement: [Viby J railway station, operator, Banedanmark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banedanmark Context triple: [Viby J railway station, operator, Banedanmark]
-
A.
Banedanmark
chosen
Banedanmark is the Danish government agency responsible for owning, maintaining, and managing most of Denmark’s railway infrastructure.
-
B.
New Denmark
New Denmark is a rural community in Victoria County, New Brunswick, known for its strong Danish heritage and agricultural roots.
-
C.
Daens
Daens is a 1992 Belgian historical drama film about a Catholic priest who fights social injustice and exploitation of workers in late 19th-century Belgium.
-
D.
Billund, Denmark
Billund, Denmark is a small Danish town best known as the birthplace of LEGO and home to the original LEGOLAND theme park.
-
E.
Denmark
Denmark is a Nordic country in Northern Europe known for its high standard of living, strong welfare state, and role as a founding member of NATO and the United Nations.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5474d934481909b4afd5ef9031c73 |
completed | April 19, 2026, 9:21 p.m. |
Created at: April 10, 2026, 11:44 a.m.