Triple
T6331659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordre Aker |
E142393
|
entity |
| Predicate | hasGreenArea |
P5383
|
FINISHED |
| Object | Grefsenkollen |
E553432
|
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: Grefsenkollen | Statement: [Nordre Aker, hasGreenArea, Grefsenkollen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grefsenkollen Context triple: [Nordre Aker, hasGreenArea, Grefsenkollen]
-
A.
Grefsen
chosen
Grefsen is a residential neighborhood in Oslo, Norway, known for its hillside location with views over the city and access to public transport and green areas.
-
B.
Kållerado
Kållerado is a popular river rapids ride at the Liseberg amusement park in Gothenburg, Sweden.
-
C.
Gruvbyn
Gruvbyn is a historic mining village area on the island of Utö in Sweden, known for its old iron ore mines and traditional archipelago settlement.
-
D.
Telegrafberget
Telegrafberget is a prominent hill in the Södertörn region of Sweden, known as its highest natural point and a notable local viewpoint.
-
E.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0651634b08190b54860ba0a70f5c4 |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6041f713c8190b27ba54181049377 |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:30 p.m.