Triple
T1560989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslofjord |
E33322
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Viken county |
E50816
|
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: Viken county | Statement: [Oslofjord, borders, Viken county]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viken county Context triple: [Oslofjord, borders, Viken county]
-
A.
Viken county
chosen
Viken county is an administrative region in southeastern Norway that includes several municipalities and borders Sweden and the Oslofjord.
-
B.
Västmanland County
Västmanland County is an administrative region in central Sweden known for its mix of industrial towns, forests, and lakes.
-
C.
Uppsala County
Uppsala County is an administrative region in east-central Sweden known for its historic university city of Uppsala and its mix of cultural heritage and rural landscapes.
-
D.
Gotland County
Gotland County is an administrative region of Sweden encompassing the island of Gotland in the Baltic Sea, known for its medieval heritage and unique insular culture.
-
E.
Södermanland County
Södermanland County is an administrative region in east-central Sweden known for its mix of coastal landscapes, forests, and historic towns such as Nyköping and Eskilstuna.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9088710a881909a1226e4b54311b8 |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6518e07081909c34a363d7ac0f25 |
completed | March 9, 2026, 6:13 a.m. |
Created at: March 4, 2026, 7:27 p.m.