Triple
T10398689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sirdal municipality |
E245086
|
entity |
| Predicate | previouslyPartOf |
P5057
|
FINISHED |
| Object | Vest-Agder county |
E517227
|
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: Vest-Agder county | Statement: [Sirdal municipality, previouslyPartOf, Vest-Agder county]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vest-Agder county Context triple: [Sirdal municipality, previouslyPartOf, Vest-Agder county]
-
A.
Vest-Agder
chosen
Vest-Agder was a former county in southern Norway known for its coastal landscape, including the city of Kristiansand, before being merged into Agder county in 2020.
-
B.
Aust-Agder
Aust-Agder was a former county in southern Norway known for its coastal towns, forests, and role in the country’s maritime and timber industries.
-
C.
Sogn og Fjordane
Sogn og Fjordane was a former county in western Norway known for its dramatic fjords, mountains, and coastal landscapes.
-
D.
Telemark county
Telemark county was a former county in southeastern Norway known for its rich folk culture, traditional architecture, and varied landscape of mountains, forests, and coastal areas.
-
E.
Agder
Agder is a county in southern Norway known for its long coastline, maritime heritage, and popular coastal towns and islands.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9d1f2408190beaa8197641c66b4 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc1eb7348190b9f3c473443bacf3 |
completed | April 10, 2026, 11:16 a.m. |
Created at: April 6, 2026, 12:07 p.m.