Triple
T6762278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vegårshei |
E154623
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Agder county |
E120897
|
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: Agder county | Statement: [Vegårshei, locatedIn, Agder county]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agder county Context triple: [Vegårshei, locatedIn, Agder county]
-
A.
Agder
chosen
Agder is a county in southern Norway known for its long coastline, maritime heritage, and popular coastal towns and islands.
-
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.
Akershus county
Akershus county was a former county in southeastern Norway that historically surrounded Oslo and included both urban suburbs and rural areas before being merged into Viken county.
-
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.
Oslo county
Oslo county is Norway’s capital county, encompassing the city of Oslo and serving as the country’s political, economic, and cultural center.
- 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d21444dc8190a290af86c81e96a5 |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89a543fb08190ad72c0a1f9927122 |
completed | March 29, 2026, 3:19 a.m. |
Created at: March 27, 2026, 2:12 p.m.