Triple
T18964743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sør-Odal |
E464004
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Skarnes Station
Skarnes Station is a railway station serving the village of Skarnes in Sør-Odal, Norway, on the Kongsvinger Line.
|
E1352268
|
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: Skarnes Station | Statement: [Sør-Odal, hasRailwayStation, Skarnes Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skarnes Station Context triple: [Sør-Odal, hasRailwayStation, Skarnes Station]
-
A.
Løten Station
Løten Station is a railway station in Innlandet county, Norway, serving the village of Løten on the Røros Line.
-
B.
Bjerka Station
Bjerka Station is a railway station serving the village of Bjerka in the municipality of Hemnes in Nordland county, Norway.
-
C.
Rygge Station
Rygge Station is a railway station in Rygge, Norway, serving as a local and regional transport hub on the Østfold Line.
-
D.
Hynnekleiv Station
Hynnekleiv Station is a railway station serving the village of Hynnekleiv in the municipality of Froland in Agder county, Norway.
-
E.
Spydeberg Station
Spydeberg Station is a local railway stop in the village of Spydeberg in Østfold, Norway, serving regional passenger traffic on the Østfold 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: Skarnes Station Triple: [Sør-Odal, hasRailwayStation, Skarnes Station]
Generated description
Skarnes Station is a railway station serving the village of Skarnes in Sør-Odal, Norway, on the Kongsvinger Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skarnes Station Target entity description: Skarnes Station is a railway station serving the village of Skarnes in Sør-Odal, Norway, on the Kongsvinger Line.
-
A.
Løten Station
Løten Station is a railway station in Innlandet county, Norway, serving the village of Løten on the Røros Line.
-
B.
Bjerka Station
Bjerka Station is a railway station serving the village of Bjerka in the municipality of Hemnes in Nordland county, Norway.
-
C.
Rygge Station
Rygge Station is a railway station in Rygge, Norway, serving as a local and regional transport hub on the Østfold Line.
-
D.
Hynnekleiv Station
Hynnekleiv Station is a railway station serving the village of Hynnekleiv in the municipality of Froland in Agder county, Norway.
-
E.
Spydeberg Station
Spydeberg Station is a local railway stop in the village of Spydeberg in Østfold, Norway, serving regional passenger traffic on the Østfold 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d5365881909dcbb4988d273b24 |
completed | April 20, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05ad351160819090f58e19670cc69c |
completed | May 14, 2026, 11:08 a.m. |
| NEDg | Description generation | batch_6a05aedf05c4819096ac6a61ada4b310 |
completed | May 14, 2026, 11:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05afe523208190a97142cd8e3b887b |
completed | May 14, 2026, 11:20 a.m. |
Created at: April 10, 2026, noon