Triple
T6083402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stovner district |
E135576
|
entity |
| Predicate | hasNeighbouringBorough |
P16160
|
FINISHED |
| Object | Alna |
E562152
|
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: Alna | Statement: [Stovner district, hasNeighbouringBorough, Alna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alna Context triple: [Stovner district, hasNeighbouringBorough, Alna]
-
A.
Alna
chosen
Alna is a river in Oslo, Norway, that flows through several urban districts before emptying into the Oslofjord.
-
B.
Alnôba
Alnôba is an Indigenous Algonquian language traditionally spoken by the Western Abenaki people of northeastern North America.
-
C.
Rennebu
Rennebu is a rural municipality in Trøndelag county, Norway, known for its distinctive Y-shaped church and scenic valley landscapes.
-
D.
Nelaug
Nelaug is a small village and railway junction in Agder county, Norway, known for connecting the Arendal Line with the Sørlandet Line.
-
E.
Synnervika
Synnervika is a small lakeside locality in Norway that serves as a key access point and harbor area on the shores of Lake Femunden.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05786233c81909010a6c2f7e7dfda |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d57b5f481908d7df374837a486a |
completed | March 23, 2026, 11 a.m. |
Created at: March 22, 2026, 4:11 p.m.