Triple
T7471772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslo Metro Line 4 |
E176523
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object |
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.
|
E689817
|
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: Grorud station | Statement: [Oslo Metro Line 4, servesStation, Grorud station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grorud station Context triple: [Oslo Metro Line 4, servesStation, Grorud station]
-
A.
Kolsås station
Kolsås station is a metro terminus on the Kolsås Line of the Oslo Metro system in Bærum, Norway.
-
B.
Nydalen station
Nydalen station is an Oslo Metro station serving the Nydalen area in the Nordre Aker borough of Oslo, Norway.
-
C.
Kjelsås station
Kjelsås station is a railway station in the Kjelsås neighborhood of Oslo, Norway, serving the Gjøvik Line.
-
D.
Frognerseteren station
Frognerseteren station is a terminal Oslo Metro station located in the Frognerseteren area, known for its scenic surroundings and access to hiking and skiing trails.
-
E.
Drammen Station
Drammen Station is a major railway hub in Drammen, Norway, connecting regional and long-distance train services to Oslo and other parts of the country.
- 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: Grorud station Triple: [Oslo Metro Line 4, servesStation, Grorud station]
Generated description
Grorud station is a metro station in Oslo, Norway, located in the Grorud district and forming part of the city's rapid transit network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grorud station Target entity description: Grorud station is a metro station in Oslo, Norway, located in the Grorud district and forming part of the city's rapid transit network.
-
A.
Kolsås station
Kolsås station is a metro terminus on the Kolsås Line of the Oslo Metro system in Bærum, Norway.
-
B.
Nydalen station
Nydalen station is an Oslo Metro station serving the Nydalen area in the Nordre Aker borough of Oslo, Norway.
-
C.
Kjelsås station
Kjelsås station is a railway station in the Kjelsås neighborhood of Oslo, Norway, serving the Gjøvik Line.
-
D.
Frognerseteren station
Frognerseteren station is a terminal Oslo Metro station located in the Frognerseteren area, known for its scenic surroundings and access to hiking and skiing trails.
-
E.
Drammen Station
Drammen Station is a major railway hub in Drammen, Norway, connecting regional and long-distance train services to Oslo and other parts of the country.
- 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_69c911608d408190b149c7c56931a18d |
completed | March 29, 2026, 11:47 a.m. |
| NEDg | Description generation | batch_69c911f4a0b0819099a9dbdceeeddd78 |
completed | March 29, 2026, 11:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c912579c108190befbbfd5740bfd83 |
completed | March 29, 2026, 11:51 a.m. |
Created at: March 27, 2026, 3:41 p.m.