Triple
T7346009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tøyen Torg |
E169380
|
entity |
| Predicate | nearTransport |
P5822
|
FINISHED |
| Object | Tøyen metro station |
E169381
|
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 metro station | Statement: [Tøyen Torg, nearTransport, Tøyen metro station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tøyen metro station Context triple: [Tøyen Torg, nearTransport, Tøyen metro station]
-
A.
Tøyen metro station
chosen
Tøyen metro station is an Oslo Metro station serving the Tøyen neighborhood in Oslo, Norway.
-
B.
Mortensrud metro station
Mortensrud metro station is a terminal station on Oslo's Metro system serving the Mortensrud neighborhood in the Søndre Nordstrand borough.
-
C.
Sinsen metro station
Sinsen metro station is an Oslo Metro station serving the Sinsen area in the northern part of Oslo, Norway.
-
D.
Stovner metro station
Stovner metro station is an Oslo Metro station on the Grorud Line serving the Stovner residential district in the northeastern part of Oslo, Norway.
-
E.
Bekkestua metro station
Bekkestua metro station is a station on the Oslo Metro network serving the suburban area of Bekkestua in Bærum, Norway.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0f0329c8190a0182e3bf62604e5 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802b24194819096b796de15d66ed2 |
completed | March 28, 2026, 4:32 p.m. |
Created at: March 27, 2026, 3:05 p.m.