Triple
T5790624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamle Oslo |
E128382
|
entity |
| Predicate | hasNeighbouringBorough |
P16160
|
FINISHED |
| Object | Søndre Nordstrand |
E138821
|
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: Søndre Nordstrand | Statement: [Gamle Oslo, hasNeighbouringBorough, Søndre Nordstrand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Søndre Nordstrand Context triple: [Gamle Oslo, hasNeighbouringBorough, Søndre Nordstrand]
-
A.
Sogndalstrand
Sogndalstrand is a historic coastal village in southwestern Norway known for its well-preserved wooden buildings and picturesque harbor setting.
-
B.
Lyngseidet
Lyngseidet is a small coastal village in northern Norway, known for its scenic fjord and mountain surroundings on the Lyngen Peninsula.
-
C.
Søndre Nordstrand district
chosen
Søndre Nordstrand district is a borough in the southern part of Oslo, Norway, known for its diverse population and mix of residential areas and green spaces.
-
D.
Åsgårdstrand
Åsgårdstrand is a small coastal town in Norway best known as a summer retreat and artistic hub associated with painter Edvard Munch.
-
E.
Stranda
Stranda is a village and municipality in western Norway known for its scenic fjord landscapes and winter sports opportunities.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a5585788190821b8da40259e0e7 |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09820f5c08190811e848eb44ce5b9 |
completed | March 23, 2026, 1:32 a.m. |
Created at: March 22, 2026, 3:51 p.m.