Triple
T7584010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ofoten Line |
E179560
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Bjørnfjell Station
Bjørnfjell Station is a remote railway station in northern Norway near the Swedish border, serving the mountainous area along the Ofoten Line.
|
E690287
|
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: Bjørnfjell Station | Statement: [Ofoten Line, hasStation, Bjørnfjell Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bjørnfjell Station Context triple: [Ofoten Line, hasStation, Bjørnfjell Station]
-
A.
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.
-
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.
Hynnekleiv Station
Hynnekleiv Station is a railway station serving the village of Hynnekleiv in the municipality of Froland in Agder county, Norway.
-
D.
Steinkjer Station
Steinkjer Station is a railway station in the town of Steinkjer in Trøndelag county, Norway, serving as a regional transport hub on the Nordland Line.
-
E.
Vegårshei Station
Vegårshei Station is a railway station in Vegårshei, Norway, serving as a local stop on the Sørlandet 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: Bjørnfjell Station Triple: [Ofoten Line, hasStation, Bjørnfjell Station]
Generated description
Bjørnfjell Station is a remote railway station in northern Norway near the Swedish border, serving the mountainous area along the Ofoten Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bjørnfjell Station Target entity description: Bjørnfjell Station is a remote railway station in northern Norway near the Swedish border, serving the mountainous area along the Ofoten Line.
-
A.
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.
-
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.
Hynnekleiv Station
Hynnekleiv Station is a railway station serving the village of Hynnekleiv in the municipality of Froland in Agder county, Norway.
-
D.
Steinkjer Station
Steinkjer Station is a railway station in the town of Steinkjer in Trøndelag county, Norway, serving as a regional transport hub on the Nordland Line.
-
E.
Vegårshei Station
Vegårshei Station is a railway station in Vegårshei, Norway, serving as a local stop on the Sørlandet 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f993cd0c8190864f801074625a32 |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c925264798819096e154ffa23ddfae |
completed | March 29, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_69c92685581c8190acc5c259cf89703d |
completed | March 29, 2026, 1:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c926d20a24819083d5ff238d9fa0e3 |
completed | March 29, 2026, 1:19 p.m. |
Created at: March 27, 2026, 3:52 p.m.