Triple
T22203347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grønland metro station |
E548736
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Sporveien |
—
|
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: Sporveien | Statement: [Grønland metro station, ownedBy, Sporveien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sporveien Context triple: [Grønland metro station, ownedBy, Sporveien]
-
A.
Sporveien
chosen
Sporveien is the municipally owned public transport company in Oslo that operates key parts of the city's metro, tram, and bus infrastructure.
-
B.
Dokkveien
Dokkveien is a street located in the Vika neighborhood of central Oslo, Norway, near the city’s waterfront and business district.
-
C.
Svenskens vei
Svenskens vei is a street located in the Vålerenga neighborhood of Oslo, Norway.
-
D.
Drammensveien
Drammensveien is a major thoroughfare in Oslo, Norway, running west from the city center through neighborhoods such as Skillebekk toward the suburb of Drammen.
-
E.
Munkedamsveien
Munkedamsveien is a central street in Oslo, Norway, known for hosting major cultural venues and offices near the city’s waterfront.
- 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b25eac4819094b3c50027ed66db |
completed | April 28, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:36 p.m.