Triple
T21888455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olaf Ryes plass |
E540473
|
entity |
| Predicate | hasNearbyStreet |
P8235
|
FINISHED |
| Object | Sofienberggata |
—
|
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: Sofienberggata | Statement: [Olaf Ryes plass, hasNearbyStreet, Sofienberggata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sofienberggata Context triple: [Olaf Ryes plass, hasNearbyStreet, Sofienberggata]
-
A.
Akersgata
Akersgata is a central street in Oslo, Norway, known for running through the city’s political and media district and hosting several important government and newspaper buildings.
-
B.
Njarðargata
Njarðargata is a street located in the Vesturbær district of Reykjavík, Iceland.
-
C.
Birger Jarlsgatan
Birger Jarlsgatan is a major central street in Stockholm, Sweden, known for its upscale shops, offices, and role as a key thoroughfare through the Östermalm district.
-
D.
Hedmarksgata
chosen
Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
-
E.
Linnégatan
Linnégatan is a prominent street in central Stockholm, Sweden, known for its shops, restaurants, and urban city life.
- 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.