Triple
T21888332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodeløkka |
E540471
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Sofienberg |
—
|
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: Sofienberg | Statement: [Rodeløkka, locatedNear, Sofienberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sofienberg Context triple: [Rodeløkka, locatedNear, Sofienberg]
-
A.
Sofienberg
chosen
Sofienberg is a central residential neighborhood in Oslo, Norway, known for its park, historic buildings, and proximity to the vibrant Grünerløkka district.
-
B.
Bordenau
Bordenau is a small village in Lower Saxony, Germany, historically noted as the birthplace of Prussian military reformer Gerhard von Scharnhorst.
-
C.
Frundsberg
Frundsberg is a German surname most famously associated with Georg von Frundsberg, a renowned 16th-century Landsknecht leader in the service of the Holy Roman Empire.
-
D.
Wilsdruff
Wilsdruff is a small town in the Free State of Saxony in eastern Germany, located near Dresden.
-
E.
Sörenberg
Sörenberg is a Swiss alpine village and ski resort in the canton of Lucerne, known for its scenic mountain landscapes and outdoor activities year-round.
- 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118ee5f1c8190b8c6c431039eb8c9 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 16, 2026, 7:05 p.m.