Triple
T22330018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lambertseter Line |
E551997
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Grorud station |
—
|
NE NERFINISHED |
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: Grorud station | Statement: [Lambertseter Line, hasStation, Grorud station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grorud station Context triple: [Lambertseter Line, hasStation, Grorud station]
-
A.
Grorud station
chosen
Grorud station is a metro station in Oslo, Norway, located in the Grorud district and forming part of the city's rapid transit network.
-
B.
Kolsås station
Kolsås station is a metro terminus on the Kolsås Line of the Oslo Metro system in Bærum, Norway.
-
C.
Karlsrud station
Karlsrud station is a metro stop on the Oslo Metro system in Norway, serving the residential area of Karlsrud on the Lambertseter Line.
-
D.
Nydalen station
Nydalen station is an Oslo Metro station serving the Nydalen area in the Nordre Aker borough of Oslo, Norway.
-
E.
Storo station
Storo station is a major interchange stop in Oslo, Norway, connecting metro, tram, and bus services in the Storo/Nydalen area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 16, 2026, 8:43 p.m.