Triple
T10429280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Råde |
E245865
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Råde Station
Råde Station is a railway station in Råde, Norway, serving as a local stop on the Østfold Line.
|
E860798
|
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: Råde Station | Statement: [Råde, hasRailwayStation, Råde Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Råde Station Context triple: [Råde, hasRailwayStation, Råde Station]
-
A.
Rødtvet station
Rødtvet station is a metro stop in Oslo, Norway, located in the Grorud district and integrated into the city's rapid transit network.
-
B.
Værnes Station
Værnes Station is a railway station in Stjørdal, Norway, serving passengers traveling to and from Trondheim Airport, Værnes.
-
C.
Strømmen Station
Strømmen Station is a railway station serving the town of Strømmen in Viken county, Norway, on the Oslo commuter rail 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.
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: Råde Station Triple: [Råde, hasRailwayStation, Råde Station]
Generated description
Råde Station is a railway station in Råde, Norway, serving as a local stop on the Østfold Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Råde Station Target entity description: Råde Station is a railway station in Råde, Norway, serving as a local stop on the Østfold Line.
-
A.
Rødtvet station
Rødtvet station is a metro stop in Oslo, Norway, located in the Grorud district and integrated into the city's rapid transit network.
-
B.
Værnes Station
Værnes Station is a railway station in Stjørdal, Norway, serving passengers traveling to and from Trondheim Airport, Værnes.
-
C.
Strømmen Station
Strømmen Station is a railway station serving the town of Strømmen in Viken county, Norway, on the Oslo commuter rail network.
-
D.
Rygge Station
chosen
Rygge Station is a railway station in Rygge, Norway, serving as a local and regional transport hub on the Østfold 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.
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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea4b4b5881908ae23f8efeea482b |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b2803d88190ab93dd19b4cfee30 |
completed | April 10, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69d96dee84f48190bf5b0cb1115a8bba |
completed | April 10, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9708824208190acf75933962d690f |
completed | April 10, 2026, 9:50 p.m. |
Created at: April 6, 2026, 12:13 p.m.