Triple
T17657733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nesbyen |
E440168
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Nesbyen Station
Nesbyen Station is a railway station in Nesbyen, Norway, serving as a stop on the Bergen Line between Oslo and Bergen.
|
E1281253
|
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: Nesbyen Station | Statement: [Nesbyen, hasRailwayStation, Nesbyen Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nesbyen Station Context triple: [Nesbyen, hasRailwayStation, Nesbyen 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.
Brynseng station
Brynseng station is a metro station in Oslo, Norway, serving as an interchange point on the Oslo Metro network.
-
C.
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.
-
D.
Rygge Station
Rygge Station is a railway station in Rygge, Norway, serving as a local and regional transport hub on the Østfold Line.
-
E.
Bålsta Station
Bålsta Station is a key regional rail hub in Bålsta, Sweden, serving as the northwestern terminus for Stockholm’s commuter rail network and connecting local and long-distance services.
- 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: Nesbyen Station Triple: [Nesbyen, hasRailwayStation, Nesbyen Station]
Generated description
Nesbyen Station is a railway station in Nesbyen, Norway, serving as a stop on the Bergen Line between Oslo and Bergen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nesbyen Station Target entity description: Nesbyen Station is a railway station in Nesbyen, Norway, serving as a stop on the Bergen Line between Oslo and Bergen.
-
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.
Brynseng station
Brynseng station is a metro station in Oslo, Norway, serving as an interchange point on the Oslo Metro network.
-
C.
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.
-
D.
Rygge Station
Rygge Station is a railway station in Rygge, Norway, serving as a local and regional transport hub on the Østfold Line.
-
E.
Bålsta Station
Bålsta Station is a key regional rail hub in Bålsta, Sweden, serving as the northwestern terminus for Stockholm’s commuter rail network and connecting local and long-distance services.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea3b4cc81908eec7032cf221d49 |
completed | April 19, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0216584eb88190afa898efae284934 |
completed | May 11, 2026, 5:48 p.m. |
| NEDg | Description generation | batch_6a0218a828548190b492e721e546f224 |
completed | May 11, 2026, 5:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02193505ec8190800570487768cf07 |
completed | May 11, 2026, 6 p.m. |
Created at: April 10, 2026, 9:28 a.m.