Triple
T1573811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ofotfjord |
E33601
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Ofoten district |
E180868
|
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: Ofoten district | Statement: [Ofotfjord, partOf, Ofoten district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ofoten district Context triple: [Ofotfjord, partOf, Ofoten district]
-
A.
Ofoten district
chosen
Ofoten district is a traditional region in Nordland county in northern Norway, known for its fjords, mountains, and the town of Narvik as its main urban center.
-
B.
Sagene district
Sagene district is a central borough of Oslo, Norway, known for its historic industrial areas, riverside parks, and vibrant urban neighborhoods.
-
C.
Ullern district
Ullern district is a residential borough in western Oslo, Norway, known for its affluent neighborhoods, proximity to the Oslofjord, and mix of urban and green areas.
-
D.
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.
-
E.
Oppland
Oppland is a former inland county in southeastern Norway known for its mountainous terrain, national parks, and popular skiing and hiking areas.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908bcd87881908b911314a30dd327 |
completed | March 5, 2026, 4:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad680b40908190acf505992848dae9 |
completed | March 8, 2026, 12:14 p.m. |
Created at: March 4, 2026, 7:27 p.m.