Triple
T19802421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midt-Telemark |
E475714
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
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.
|
E1396079
|
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: Bø Station | Statement: [Midt-Telemark, hasRailwayStation, Bø Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bø Station Context triple: [Midt-Telemark, hasRailwayStation, Bø Station]
-
A.
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.
-
B.
Fetsund Station
Fetsund Station is a railway station in Fetsund, Norway, serving as a local stop on the Kongsvinger Line.
-
C.
Brevik station
Brevik station is a tram stop on Stockholm’s Lidingöbanan light rail line serving the Brevik area on Lidingö island.
-
D.
Veitvet station
Veitvet station is a metro stop in Oslo, Norway, located in the Veitvet neighborhood and forming part of the city's rapid transit network.
-
E.
Bøler station
Bøler station is a metro station on the Oslo Metro’s Østensjø Line serving the Bøler neighborhood in Oslo, Norway.
- 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: Bø Station Triple: [Midt-Telemark, hasRailwayStation, Bø Station]
Generated description
Bø Station is a railway station serving the village of Bø in Midt-Telemark, Norway, providing regional rail connections for the surrounding area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bø Station Target entity description: Bø Station is a railway station serving the village of Bø in Midt-Telemark, Norway, providing regional rail connections for the surrounding area.
-
A.
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.
-
B.
Fetsund Station
Fetsund Station is a railway station in Fetsund, Norway, serving as a local stop on the Kongsvinger Line.
-
C.
Brevik station
Brevik station is a tram stop on Stockholm’s Lidingöbanan light rail line serving the Brevik area on Lidingö island.
-
D.
Veitvet station
Veitvet station is a metro stop in Oslo, Norway, located in the Veitvet neighborhood and forming part of the city's rapid transit network.
-
E.
Bøler station
Bøler station is a metro station on the Oslo Metro’s Østensjø Line serving the Bøler neighborhood in Oslo, Norway.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654257cb4819096fb2aa5d1f7fbb0 |
completed | April 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c50a78dc8190ae3125974372785c |
completed | May 16, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_6a07c59d56c8819092cd0d6ac6265ebf |
completed | May 16, 2026, 1:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07c61cde3081909bfec0054e4cd5e9 |
completed | May 16, 2026, 1:19 a.m. |
Created at: April 10, 2026, 1:49 p.m.