Triple
T7268479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storo |
E161038
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Nordre Aker borough |
E142393
|
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: Nordre Aker borough | Statement: [Storo, partOf, Nordre Aker borough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nordre Aker borough Context triple: [Storo, partOf, Nordre Aker borough]
-
A.
Nordre Aker district
chosen
Nordre Aker district is a largely residential borough in the northern part of Oslo, Norway, known for its green areas, educational institutions, and good public transport connections.
-
B.
Vestre Aker district
Vestre Aker district is a largely affluent, residential borough in the western part of Oslo, Norway, known for its green areas and suburban character.
-
C.
Bjørvika district
Bjørvika district is a redeveloped waterfront area in central Oslo, Norway, known for its modern architecture, cultural institutions, and striking harbor skyline.
-
D.
Grünerløkka district
Grünerløkka district is a trendy, centrally located neighborhood in Oslo known for its vibrant street life, cafes, bars, and creative cultural scene.
-
E.
Østensjø district
Østensjø district is a residential borough in the southeastern part of Oslo, Norway, known for its lakes, green spaces, and suburban character.
- 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eae8cc288190bc3ae3c7b38980d0 |
completed | March 27, 2026, 8:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802a80bb48190bd4c9013764345f4 |
completed | March 28, 2026, 4:32 p.m. |
Created at: March 27, 2026, 2:58 p.m.