Triple
T7471778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslo Metro Line 4 |
E176523
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object |
Økern station
Økern station is an Oslo Metro rapid transit stop in the Økern area of Oslo, Norway.
|
E690081
|
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: Økern station | Statement: [Oslo Metro Line 4, servesStation, Økern station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Økern station Context triple: [Oslo Metro Line 4, servesStation, Økern station]
-
A.
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.
-
B.
Ulsrud station
Ulsrud station is a metro station on the Oslo Metro network in Norway, serving the residential area of Ulsrud in the Østensjø borough.
-
C.
Mortensrud station
Mortensrud station is a metro station in Oslo, Norway, serving as the southern terminus of the Oslo Metro’s Line 3 in the Mortensrud neighborhood.
-
D.
Henriksdal station
Henriksdal station is a commuter rail stop in the Stockholm area that serves passengers on the Saltsjöbanan line.
-
E.
Kjelsås station
Kjelsås station is a railway station in the Kjelsås neighborhood of Oslo, Norway, serving the Gjøvik 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: Økern station Triple: [Oslo Metro Line 4, servesStation, Økern station]
Generated description
Økern station is an Oslo Metro rapid transit stop in the Økern area of Oslo, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Økern station Target entity description: Økern station is an Oslo Metro rapid transit stop in the Økern area of Oslo, Norway.
-
A.
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.
-
B.
Ulsrud station
Ulsrud station is a metro station on the Oslo Metro network in Norway, serving the residential area of Ulsrud in the Østensjø borough.
-
C.
Mortensrud station
Mortensrud station is a metro station in Oslo, Norway, serving as the southern terminus of the Oslo Metro’s Line 3 in the Mortensrud neighborhood.
-
D.
Henriksdal station
Henriksdal station is a commuter rail stop in the Stockholm area that serves passengers on the Saltsjöbanan line.
-
E.
Kjelsås station
Kjelsås station is a railway station in the Kjelsås neighborhood of Oslo, Norway, serving the Gjøvik 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f415b5cc81909e1e097c90f460b6 |
completed | March 27, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c91b1532808190a0b85fa98ef24cfa |
completed | March 29, 2026, 12:29 p.m. |
| NEDg | Description generation | batch_69c91c16d49481909afe69ac6d542a6c |
completed | March 29, 2026, 12:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c91ccb3e348190b294789d17dbacf3 |
completed | March 29, 2026, 12:36 p.m. |
Created at: March 27, 2026, 3:41 p.m.