Triple
T7394604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslo Metro Line 1 |
E170589
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Stortinget station |
E135577
|
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: Stortinget station | Statement: [Oslo Metro Line 1, hasStation, Stortinget station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stortinget station Context triple: [Oslo Metro Line 1, hasStation, Stortinget station]
-
A.
Eidsvoll Station
Eidsvoll Station is a railway station in Eidsvoll, Norway, serving as a key stop on the country’s main rail routes.
-
B.
Midtstuen station
Midtstuen station is a stop on Oslo’s Holmenkollen Line of the Oslo Metro, serving the hillside residential areas northwest of the city center.
-
C.
Trondheim Central Station
Trondheim Central Station is the main railway hub in Trondheim, Norway, serving as a key junction for regional and long-distance train services across the country.
-
D.
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.
-
E.
Stortinget metro station
chosen
Stortinget metro station is a central underground station in Oslo’s metro system, serving as a major hub for lines running through the city center.
- 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_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_69c86134a2108190a8e181e47af18e36 |
completed | March 28, 2026, 11:16 p.m. |
Created at: March 27, 2026, 3:09 p.m.