Triple
T23080710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bøler |
E575460
|
entity |
| Predicate | hasEducationalInstitution |
P113
|
FINISHED |
| Object | Bøler skole |
—
|
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: Bøler skole | Statement: [Bøler, hasEducationalInstitution, Bøler skole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bøler skole Context triple: [Bøler, hasEducationalInstitution, Bøler skole]
-
A.
Bøler
chosen
Bøler is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its post-war apartment blocks, green surroundings, and access to the Østmarka forest.
-
B.
Bø
Bø is a coastal municipality in Nordland county, Norway, known for its dramatic landscapes, fishing heritage, and location within the Vesterålen archipelago.
-
C.
Bø
Bø is a small town in southern Norway known for its scenic landscapes, outdoor recreation, and role as a local commercial and educational center.
-
D.
Bøler residential area
Bøler residential area is a suburban neighborhood in Oslo, Norway, known for its post-war apartment blocks, proximity to forests and lakes, and strong community identity.
-
E.
Mellom Bolæren
Mellom Bolæren is a small Norwegian island in the Oslofjord known for its scenic coastal landscape, outdoor recreation opportunities, and remnants of World War II fortifications.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c67e06881908d24d6267bb49553 |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.