Triple
T7394590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslo Metro Line 1 |
E170589
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Voksenkollen station
Voksenkollen station is an Oslo Metro stop in the hilly, forested area above the city, serving as a gateway to nearby recreational and skiing areas.
|
E661131
|
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: Voksenkollen station | Statement: [Oslo Metro Line 1, hasStation, Voksenkollen station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Voksenkollen station Context triple: [Oslo Metro Line 1, hasStation, Voksenkollen station]
-
A.
Vallentuna station
Vallentuna station is a commuter rail stop on Stockholm’s Roslagsbanan narrow-gauge railway serving the locality of Vallentuna in Sweden.
-
B.
Matinkylä station
Matinkylä station is a metro station in the Espoo district of Matinkylä that serves as a key western endpoint of the Helsinki Metro system.
-
C.
Syosset station
Syosset station is a Long Island Rail Road commuter rail stop serving the community of Syosset in Nassau County, New York.
-
D.
Kivenlahti station
Kivenlahti station is a western endpoint of the Helsinki Metro system serving the Kivenlahti district in Espoo, Finland.
-
E.
Vuosaari station
Vuosaari station is an eastern Helsinki Metro station serving the Vuosaari district as one of the line’s terminal endpoints.
- 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: Voksenkollen station Triple: [Oslo Metro Line 1, hasStation, Voksenkollen station]
Generated description
Voksenkollen station is an Oslo Metro stop in the hilly, forested area above the city, serving as a gateway to nearby recreational and skiing areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Voksenkollen station Target entity description: Voksenkollen station is an Oslo Metro stop in the hilly, forested area above the city, serving as a gateway to nearby recreational and skiing areas.
-
A.
Vallentuna station
Vallentuna station is a commuter rail stop on Stockholm’s Roslagsbanan narrow-gauge railway serving the locality of Vallentuna in Sweden.
-
B.
Matinkylä station
Matinkylä station is a metro station in the Espoo district of Matinkylä that serves as a key western endpoint of the Helsinki Metro system.
-
C.
Syosset station
Syosset station is a Long Island Rail Road commuter rail stop serving the community of Syosset in Nassau County, New York.
-
D.
Kivenlahti station
Kivenlahti station is a western endpoint of the Helsinki Metro system serving the Kivenlahti district in Espoo, Finland.
-
E.
Vuosaari station
Vuosaari station is an eastern Helsinki Metro station serving the Vuosaari district as one of the line’s terminal endpoints.
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2279de4819081b8876d02f55388 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810fcb1408190a6ed22213bd7830b |
completed | March 28, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c8119611148190ae72e52242798dfe |
completed | March 28, 2026, 5:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8121126e08190a95ab570569158cf |
completed | March 28, 2026, 5:38 p.m. |
Created at: March 27, 2026, 3:09 p.m.