Triple
T23134264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tøyen station |
E577264
|
entity |
| Predicate | servesNeighborhood |
P82
|
FINISHED |
| Object | Tøyen neighborhood |
—
|
NE NERFINISHED |
How this triple was built (3 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 neighborhood | Statement: [Tøyen station, servesNeighborhood, Tøyen neighborhood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tøyen neighborhood Context triple: [Tøyen station, servesNeighborhood, Tøyen neighborhood]
-
A.
Kringsjå neighborhood
Kringsjå neighborhood is a residential area in Oslo, Norway, known for its proximity to natural surroundings and its large student population.
-
B.
Bjølsen neighborhood
Bjølsen neighborhood is a residential area in Oslo, Norway, known for its mix of historic industrial sites, green spaces, and urban apartment blocks along the Akerselva river.
-
C.
Mortensrud neighborhood
Mortensrud neighborhood is a residential district in the Søndre Nordstrand borough of Oslo, Norway, known for its diverse population, modern housing developments, and access to nature and public transit.
-
D.
Vålerenga neighborhood
Vålerenga neighborhood is a historic residential area in Oslo, Norway, known for its traditional wooden houses, working-class roots, and strong local football culture centered around Vålerenga IF.
-
E.
Lambertseter neighborhood
Lambertseter neighborhood is a residential area in Oslo, Norway, known as one of the city’s first planned suburbs with significant post-war housing developments.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tøyen neighborhood Target entity description: Tøyen neighborhood is a residential and cultural district in Oslo, Norway, known for its diverse community, parks, and major attractions like the Munch Museum’s former site and the Botanical Garden.
-
A.
Kringsjå neighborhood
Kringsjå neighborhood is a residential area in Oslo, Norway, known for its proximity to natural surroundings and its large student population.
-
B.
Bjølsen neighborhood
Bjølsen neighborhood is a residential area in Oslo, Norway, known for its mix of historic industrial sites, green spaces, and urban apartment blocks along the Akerselva river.
-
C.
Mortensrud neighborhood
Mortensrud neighborhood is a residential district in the Søndre Nordstrand borough of Oslo, Norway, known for its diverse population, modern housing developments, and access to nature and public transit.
-
D.
Vålerenga neighborhood
Vålerenga neighborhood is a historic residential area in Oslo, Norway, known for its traditional wooden houses, working-class roots, and strong local football culture centered around Vålerenga IF.
-
E.
Lambertseter neighborhood
Lambertseter neighborhood is a residential area in Oslo, Norway, known as one of the city’s first planned suburbs with significant post-war housing developments.
- F. None of above. chosen
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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8ab9b08190969984f8c4494b0f |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 4 p.m.