Triple
T1138615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslo Metro |
E23196
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object |
Sporveien
Sporveien is the municipally owned public transport company in Oslo that operates key parts of the city's metro, tram, and bus infrastructure.
|
E132671
|
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: Sporveien | Statement: [Oslo Metro, owner, Sporveien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sporveien Context triple: [Oslo Metro, owner, Sporveien]
-
A.
Drammen
Drammen is a city and municipality in southeastern Norway known for its riverside setting along the Drammenselva and its role as a regional commercial and transport hub.
-
B.
Arendal Line
The Arendal Line is a Norwegian railway route that connects the coastal town of Arendal to the national rail network.
-
C.
Oslo Tramway
Oslo Tramway is the city’s electric light rail and streetcar network that forms a key part of public transport in Norway’s capital.
-
D.
Kungsgatan
Kungsgatan is a major central street in Stockholm, Sweden, known for its early 20th-century architecture, bustling shops, and iconic twin towers.
-
E.
Gjøvik Line
The Gjøvik Line is a Norwegian railway route connecting Oslo with the town of Gjøvik through the inland districts north of the capital.
- 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: Sporveien Triple: [Oslo Metro, owner, Sporveien]
Generated description
Sporveien is the municipally owned public transport company in Oslo that operates key parts of the city's metro, tram, and bus infrastructure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sporveien Target entity description: Sporveien is the municipally owned public transport company in Oslo that operates key parts of the city's metro, tram, and bus infrastructure.
-
A.
Drammen
Drammen is a city and municipality in southeastern Norway known for its riverside setting along the Drammenselva and its role as a regional commercial and transport hub.
-
B.
Arendal Line
The Arendal Line is a Norwegian railway route that connects the coastal town of Arendal to the national rail network.
-
C.
Oslo Tramway
Oslo Tramway is the city’s electric light rail and streetcar network that forms a key part of public transport in Norway’s capital.
-
D.
Kungsgatan
Kungsgatan is a major central street in Stockholm, Sweden, known for its early 20th-century architecture, bustling shops, and iconic twin towers.
-
E.
Gardermoen Line
The Gardermoen Line is a high-speed railway in Norway that connects Oslo with Oslo Airport and further north, serving as a key part of the country’s intercity and airport rail network.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc25dda481909a26d726fdbdbb50 |
completed | March 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5eaf952c81908c45b511f0231340 |
completed | March 7, 2026, 5:21 p.m. |
| NEDg | Description generation | batch_69ac5f15c2808190905e40c6db9d957c |
completed | March 7, 2026, 5:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac633749008190bae63644d5ee7cea |
completed | March 7, 2026, 5:41 p.m. |
Created at: March 1, 2026, 7:44 p.m.