Triple
T15690321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voss Municipality |
E380310
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Voss district |
E740156
|
NE FINISHED |
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: Voss district | Statement: [Voss Municipality, region, Voss district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Voss district Context triple: [Voss Municipality, region, Voss district]
-
A.
Voss district
chosen
Voss district is a traditional region in western Norway known for its mountainous landscapes, outdoor activities, and strong cultural heritage.
-
B.
Hadeland district
Hadeland district is a traditional rural region in southeastern Norway known for its historic farms, forests, and lakes north of Oslo.
-
C.
Sagene district
Sagene district is a central borough of Oslo, Norway, known for its historic industrial areas, riverside parks, and vibrant urban neighborhoods.
-
D.
Ringerike district
Ringerike district is a historic region in southeastern Norway known for its cultural heritage, distinctive landscape, and early medieval significance.
-
E.
Bjerke district
Bjerke district is a residential borough in the northeastern part of Oslo, Norway, known for its mix of apartment blocks, green areas, and local commercial centers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4e59988190aaf12f6a07c8f0e4 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b31b3b4819095d0c24ee471e2a9 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 4:44 a.m.