Triple
T22329999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lambertseter Line |
E551997
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Tøyen station |
E577264
|
NE FINISHED |
How this triple was built (2 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: Tøyen station | Statement: [Lambertseter Line, hasStation, Tøyen station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tøyen station Context triple: [Lambertseter Line, hasStation, Tøyen station]
-
A.
Tøyen station
chosen
Tøyen station is an Oslo Metro station in the Tøyen neighborhood of Oslo, Norway, serving as a stop on the system’s Ring Line.
-
B.
Skøyen Station
Skøyen Station is a major railway and commuter hub in Oslo, Norway, serving regional and local trains as part of the city's western transport corridor.
-
C.
Blakstad station
Blakstad station is a small railway station in Norway that serves the local community of Blakstad with regional train connections.
-
D.
Støren Station
Støren Station is a railway station in Trøndelag, Norway, serving as a junction where the Røros Line meets the Dovre Line and providing regional and long-distance train connections.
-
E.
Stovner station
Stovner station is an Oslo Metro station in the Stovner neighborhood, serving as a stop on the city's eastern suburban transit network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1577a9c348190b8662142afa832be |
completed | April 29, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b12441a108190b2a6e863bbb25ac0 |
completed | May 18, 2026, 1:21 p.m. |
Created at: April 16, 2026, 8:43 p.m.