Triple
T6401715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sagene district |
E144077
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Bjølsen Park |
E590033
|
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: Bjølsen Park | Statement: [Sagene district, hasPark, Bjølsen Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bjølsen Park Context triple: [Sagene district, hasPark, Bjølsen Park]
-
A.
Bjølsen Park
chosen
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.
-
B.
Högalid Park
Högalid Park is a green public park in Stockholm, Sweden, known for its elevated setting and views, with the twin-towered Högalid Church prominently overlooking it.
-
C.
Näsbypark
Näsbypark is a residential suburban district in the northern Stockholm area of Sweden, known for its villas, green spaces, and coastal location by the Baltic Sea.
-
D.
Tøyen Park
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.
-
E.
Iladalen Park
Iladalen Park is a green public park in Oslo, Norway, known as a local recreational area within 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_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c068ade8c881908a0472f1de6b7c21 |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640bee09481908bdd0462f7cc43ff |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:35 p.m.