Triple
T19266755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fetsund |
E481801
|
entity |
| Predicate | hasTransport |
P1298
|
FINISHED |
| Object |
Fetsund Station
Fetsund Station is a railway station in Fetsund, Norway, serving as a local stop on the Kongsvinger Line.
|
E1368433
|
NE FINISHED |
How this triple was built (4 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: Fetsund Station | Statement: [Fetsund, hasTransport, Fetsund Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fetsund Station Context triple: [Fetsund, hasTransport, Fetsund Station]
-
A.
Vikersund Station
Vikersund Station is a railway station in Vikersund, Norway, serving as a stop on the Randsfjord Line and providing regional passenger rail connections.
-
B.
Støren Station
Støren Station is a railway station in Trøndelag, Norway, serving as a junction where the Røros Line meets the Dovre Line and providing regional and long-distance train connections.
-
C.
Hokksund Station
Hokksund Station is a railway station in Hokksund, Norway, serving as a local and regional transport hub on the country’s rail network.
-
D.
Brevik station
Brevik station is a tram stop on Stockholm’s Lidingöbanan light rail line serving the Brevik area on Lidingö island.
-
E.
Rygge Station
Rygge Station is a railway station in Rygge, Norway, serving as a local and regional transport hub on the Østfold Line.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fetsund Station Triple: [Fetsund, hasTransport, Fetsund Station]
Generated description
Fetsund Station is a railway station in Fetsund, Norway, serving as a local stop on the Kongsvinger Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fetsund Station Target entity description: Fetsund Station is a railway station in Fetsund, Norway, serving as a local stop on the Kongsvinger Line.
-
A.
Vikersund Station
Vikersund Station is a railway station in Vikersund, Norway, serving as a stop on the Randsfjord Line and providing regional passenger rail connections.
-
B.
Støren Station
Støren Station is a railway station in Trøndelag, Norway, serving as a junction where the Røros Line meets the Dovre Line and providing regional and long-distance train connections.
-
C.
Hokksund Station
Hokksund Station is a railway station in Hokksund, Norway, serving as a local and regional transport hub on the country’s rail network.
-
D.
Brevik station
Brevik station is a tram stop on Stockholm’s Lidingöbanan light rail line serving the Brevik area on Lidingö island.
-
E.
Rygge Station
Rygge Station is a railway station in Rygge, Norway, serving as a local and regional transport hub on the Østfold Line.
- F. None of above. chosen
Provenance (5 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8d58988190a942627b1fb79285 |
completed | April 20, 2026, 10:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e6ec97c81909944d41943b94b34 |
completed | May 15, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a070fc891448190a5061c0d340548d5 |
completed | May 15, 2026, 12:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0710836b608190a89900ba3f6916bb |
completed | May 15, 2026, 12:24 p.m. |
Created at: April 10, 2026, 1:29 p.m.