Triple
T17087446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bjørnafjorden |
E414634
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Hordaland traditional district |
—
|
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: Hordaland traditional district | Statement: [Bjørnafjorden, region, Hordaland traditional district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hordaland traditional district Context triple: [Bjørnafjorden, region, Hordaland traditional district]
-
A.
Ryfylke district
Ryfylke district is a traditional region in Rogaland county, southwestern Norway, known for its fjords, mountains, and scattered rural communities.
-
B.
Hordaland
chosen
Hordaland was a former county in western Norway known for its fjords, coastal landscapes, and the city of Bergen.
-
C.
Hadeland district
Hadeland district is a traditional rural region in southeastern Norway known for its historic farms, forests, and lakes north of Oslo.
-
D.
Jæren region
The Jæren region is a coastal area in southwestern Norway known for its flat, fertile farmland, long sandy beaches, and the city of Stavanger as its main urban center.
-
E.
Sogn og Fjordane
Sogn og Fjordane was a former county in western Norway known for its dramatic fjords, mountains, and coastal landscapes.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe92e488190b947287a968086d5 |
completed | April 18, 2026, 7:30 p.m. |
Created at: April 10, 2026, 5:35 a.m.