Triple
T7345929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tøyenbadet |
E169378
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Tøyenparken |
E169377
|
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: Tøyenparken | Statement: [Tøyenbadet, locatedNear, Tøyenparken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tøyenparken Context triple: [Tøyenbadet, locatedNear, Tøyenparken]
-
A.
Tøyen Park
chosen
Tøyen Park is a large public park in Oslo, Norway, known for its green spaces, cultural venues, and proximity to attractions like the Munch Museum and the Botanical Garden.
-
B.
Tøyenbadet
Tøyenbadet is a major public swimming facility in Oslo, Norway, known for its indoor and outdoor pools and recreational amenities.
-
C.
Kristiansand Zoo and Amusement Park
Kristiansand Zoo and Amusement Park is one of Norway’s largest and most popular family attractions, combining a diverse animal park with themed rides and entertainment areas.
-
D.
Tøyen
Tøyen is a neighborhood in Oslo, Norway, known for its cultural institutions, parks, and educational facilities.
-
E.
Bjølsen Park
Bjølsen Park is a public green space in the Bjølsen area of Oslo, Norway, known as a local recreational area for residents of the Sagene district.
- 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_69c810d0aebc8190a7274fbcd3fe11ff |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:05 p.m.