Triple
T20707838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jærbanen |
E508950
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Nærbø Station
Nærbø Station is a railway station in Nærbø, Norway, serving local and regional trains on the Jæren Line between Stavanger and Egersund.
|
E1464389
|
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: Nærbø Station | Statement: [Jærbanen, hasStation, Nærbø Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nærbø Station Context triple: [Jærbanen, hasStation, Nærbø Station]
-
A.
Fetsund Station
Fetsund Station is a railway station in Fetsund, Norway, serving as a local stop on the Kongsvinger Line.
-
B.
Bø Station
Bø Station is a railway station serving the village of Bø in Midt-Telemark, Norway, providing regional rail connections for the surrounding area.
-
C.
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.
-
D.
Vegårshei Station
Vegårshei Station is a railway station in Vegårshei, Norway, serving as a local stop on the Sørlandet Line.
-
E.
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.
- 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: Nærbø Station Triple: [Jærbanen, hasStation, Nærbø Station]
Generated description
Nærbø Station is a railway station in Nærbø, Norway, serving local and regional trains on the Jæren Line between Stavanger and Egersund.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nærbø Station Target entity description: Nærbø Station is a railway station in Nærbø, Norway, serving local and regional trains on the Jæren Line between Stavanger and Egersund.
-
A.
Fetsund Station
Fetsund Station is a railway station in Fetsund, Norway, serving as a local stop on the Kongsvinger Line.
-
B.
Bø Station
Bø Station is a railway station serving the village of Bø in Midt-Telemark, Norway, providing regional rail connections for the surrounding area.
-
C.
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.
-
D.
Vegårshei Station
Vegårshei Station is a railway station in Vegårshei, Norway, serving as a local stop on the Sørlandet Line.
-
E.
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.
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1952e888190877b79933970f7b0 |
completed | April 21, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09505371f88190be5f78af8f2d3103 |
completed | May 17, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a0951393c488190b7c1b5a6d2217576 |
completed | May 17, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09517ddfc08190bfc97025e81d370c |
completed | May 17, 2026, 5:26 a.m. |
Created at: April 16, 2026, 12:14 p.m.