Triple
T23287534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sagene |
E589929
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Torshovparken |
—
|
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: Torshovparken | Statement: [Sagene, contains, Torshovparken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torshovparken Context triple: [Sagene, contains, Torshovparken]
-
A.
Torshovdalen park
chosen
Torshovdalen park is a large, green recreational area in Oslo, Norway, known for its open lawns, walking paths, and views over the surrounding city districts.
-
B.
Skinnarviksparken
Skinnarviksparken is a popular hilltop park in central Stockholm known for its panoramic views over the city and Lake Mälaren.
-
C.
Bjørneparken
Bjørneparken is a Norwegian wildlife and family adventure park known for its bears and other native animals, located in the municipality of Flå.
-
D.
Myraløkka park
Myraløkka park is a green recreational area in Oslo, Norway, known for its open lawns, sports fields, and riverside setting along the Akerselva in the Sagene district.
-
E.
Grøndalsparken
Grøndalsparken is a public green space in the Copenhagen district of Vanløse, known for its recreational areas and walking paths along the Grøndal stream.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19648842c81909756be4bc06b3a45 |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 5 p.m.