Triple
T7471775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslo Metro Line 4 |
E176523
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object |
Linderud station
Linderud station is an Oslo Metro stop in the Linderud neighborhood, providing urban rail access on the city's east side.
|
E689922
|
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: Linderud station | Statement: [Oslo Metro Line 4, servesStation, Linderud station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linderud station Context triple: [Oslo Metro Line 4, servesStation, Linderud station]
-
A.
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.
-
B.
Besserud station
Besserud station is a metro stop on Oslo’s Holmenkollen Line serving the residential hillside area of Besserud in Oslo, Norway.
-
C.
Hellerud station
Hellerud station is a metro station in Oslo, Norway, serving as a junction on the city's eastern subway network.
-
D.
Grefsen station
Grefsen station is a railway station in Oslo, Norway, serving the Gjøvik Line and providing local and regional train connections for the Nordre Aker district.
-
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: Linderud station Triple: [Oslo Metro Line 4, servesStation, Linderud station]
Generated description
Linderud station is an Oslo Metro stop in the Linderud neighborhood, providing urban rail access on the city's east side.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linderud station Target entity description: Linderud station is an Oslo Metro stop in the Linderud neighborhood, providing urban rail access on the city's east side.
-
A.
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.
-
B.
Besserud station
Besserud station is a metro stop on Oslo’s Holmenkollen Line serving the residential hillside area of Besserud in Oslo, Norway.
-
C.
Hellerud station
Hellerud station is a metro station in Oslo, Norway, serving as a junction on the city's eastern subway network.
-
D.
Grefsen station
Grefsen station is a railway station in Oslo, Norway, serving the Gjøvik Line and providing local and regional train connections for the Nordre Aker district.
-
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
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_69c9162980708190be2a347b2322c09c |
completed | March 29, 2026, 12:08 p.m. |
| NEDg | Description generation | batch_69c91718a39c8190b89a0572a797d272 |
completed | March 29, 2026, 12:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c917af70d4819085f90d655ebdac39 |
completed | March 29, 2026, 12:14 p.m. |
Created at: March 27, 2026, 3:41 p.m.