Triple
T7471791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslo Metro Line 4 |
E176523
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object |
Storo station
Storo station is a major interchange stop in Oslo, Norway, connecting metro, tram, and bus services in the Storo/Nydalen area.
|
E690111
|
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: Storo station | Statement: [Oslo Metro Line 4, servesStation, Storo station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storo station Context triple: [Oslo Metro Line 4, servesStation, Storo station]
-
A.
Linderud station
Linderud station is an Oslo Metro stop in the Linderud neighborhood, providing urban rail access on the city's east side.
-
B.
Grorud station
Grorud station is a metro station in Oslo, Norway, located in the Grorud district and forming part of the city's rapid transit network.
-
C.
Midtstuen station
Midtstuen station is a stop on Oslo’s Holmenkollen Line of the Oslo Metro, serving the hillside residential areas northwest of the city center.
-
D.
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.
-
E.
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.
- 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: Storo station Triple: [Oslo Metro Line 4, servesStation, Storo station]
Generated description
Storo station is a major interchange stop in Oslo, Norway, connecting metro, tram, and bus services in the Storo/Nydalen area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Storo station Target entity description: Storo station is a major interchange stop in Oslo, Norway, connecting metro, tram, and bus services in the Storo/Nydalen area.
-
A.
Linderud station
Linderud station is an Oslo Metro stop in the Linderud neighborhood, providing urban rail access on the city's east side.
-
B.
Grorud station
Grorud station is a metro station in Oslo, Norway, located in the Grorud district and forming part of the city's rapid transit network.
-
C.
Midtstuen station
Midtstuen station is a stop on Oslo’s Holmenkollen Line of the Oslo Metro, serving the hillside residential areas northwest of the city center.
-
D.
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.
-
E.
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.
- 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_69c91f49faec8190b4920097d52896f3 |
completed | March 29, 2026, 12:47 p.m. |
| NEDg | Description generation | batch_69c91fc5a1048190b5d4c988efa99713 |
completed | March 29, 2026, 12:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c92043ee988190a1ce0ee6090eb5fc |
completed | March 29, 2026, 12:51 p.m. |
Created at: March 27, 2026, 3:41 p.m.