Triple
T22756725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grønland Church, Oslo |
E562863
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Grønland (Oslo) |
—
|
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: Grønland (Oslo) | Statement: [Grønland Church, Oslo, namedAfter, Grønland (Oslo)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grønland (Oslo) Context triple: [Grønland Church, Oslo, namedAfter, Grønland (Oslo)]
-
A.
Gröndal
Gröndal is a residential district in southern Stockholm, Sweden, known for its waterfront location on Lake Mälaren and mix of early 20th-century and modern architecture.
-
B.
Oslo East
chosen
Oslo East is the eastern part of Norway’s capital city, often associated with working-class neighborhoods, cultural diversity, and a strong local football supporter culture.
-
C.
Marienlyst, Oslo
Marienlyst, Oslo is a neighborhood in Norway’s capital city best known as the long-time home of the Norwegian Broadcasting Corporation’s main facilities.
-
D.
Høvik
Høvik is a suburban residential area and neighborhood in the municipality of Bærum in Viken county, Norway.
-
E.
Grorud
Grorud is a borough in the northeastern part of Oslo, Norway, known for its residential areas, green spaces, and diverse population.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bd22588190ac724a656194f5b9 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:25 p.m.