Triple
T8518623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voss |
E201638
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Voss Station
Voss Station is a railway station in the village of Voss in Vestland county, Norway, serving as a stop on the Bergen Line between Bergen and Oslo.
|
E739592
|
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: Voss Station | Statement: [Voss, hasRailwayStation, Voss Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Voss Station Context triple: [Voss, hasRailwayStation, Voss Station]
-
A.
Strømmen Station
Strømmen Station is a railway station serving the town of Strømmen in Viken county, Norway, on the Oslo commuter rail network.
-
B.
Jessheim Station
Jessheim Station is a railway station in Jessheim, Norway, serving as a local transport hub on the country's rail network.
-
C.
Verdal Station
Verdal Station is a railway station in the town of Verdal in Trøndelag county, Norway, serving as a stop on the Nordland Line.
-
D.
Vestfossen Station
Vestfossen Station is a railway station serving the village of Vestfossen in Øvre Eiker, Norway, on the Sørlandet Line.
-
E.
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.
- 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: Voss Station Triple: [Voss, hasRailwayStation, Voss Station]
Generated description
Voss Station is a railway station in the village of Voss in Vestland county, Norway, serving as a stop on the Bergen Line between Bergen and Oslo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Voss Station Target entity description: Voss Station is a railway station in the village of Voss in Vestland county, Norway, serving as a stop on the Bergen Line between Bergen and Oslo.
-
A.
Strømmen Station
Strømmen Station is a railway station serving the town of Strømmen in Viken county, Norway, on the Oslo commuter rail network.
-
B.
Jessheim Station
Jessheim Station is a railway station in Jessheim, Norway, serving as a local transport hub on the country's rail network.
-
C.
Verdal Station
Verdal Station is a railway station in the town of Verdal in Trøndelag county, Norway, serving as a stop on the Nordland Line.
-
D.
Vestfossen Station
Vestfossen Station is a railway station serving the village of Vestfossen in Øvre Eiker, Norway, on the Sørlandet Line.
-
E.
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.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe627de908190b463da0f26da4ffb |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e6c93d081909da2a748b0fa6fd3 |
completed | April 2, 2026, 11:09 a.m. |
| NEDg | Description generation | batch_69ce4ffc30e08190b71e941d63d56015 |
completed | April 2, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce54dc664081908ff63ec7f92834d7 |
completed | April 2, 2026, 11:37 a.m. |
Created at: March 30, 2026, 6:16 p.m.