Triple
T4657826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hedmark |
E102451
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Nord-Odal
Nord-Odal is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and traditional agricultural landscape.
|
E457403
|
NE FINISHED |
How this triple was built (4 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: Nord-Odal | Statement: [Hedmark, hasMunicipality, Nord-Odal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nord-Odal Context triple: [Hedmark, hasMunicipality, Nord-Odal]
-
A.
Olderdalen
Olderdalen is a small coastal village in northern Norway that serves as the administrative center of Kåfjord Municipality in Troms og Finnmark county.
-
B.
Oldedalen
Oldedalen is a scenic glacial valley in western Norway, known for its dramatic mountains, lakes, and access to nearby glaciers.
-
C.
Engerdal
Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
-
D.
Nordingrå
Nordingrå is a small locality in Sweden’s High Coast region, known for its coastal landscapes and traditional rural communities.
-
E.
Brumunddal
Brumunddal is a town in Ringsaker Municipality in Innlandet county, Norway, known as an administrative and commercial center on the eastern shore of Lake Mjøsa.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nord-Odal Triple: [Hedmark, hasMunicipality, Nord-Odal]
Generated description
Nord-Odal is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and traditional agricultural landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nord-Odal Target entity description: Nord-Odal is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and traditional agricultural landscape.
-
A.
Olderdalen
Olderdalen is a small coastal village in northern Norway that serves as the administrative center of Kåfjord Municipality in Troms og Finnmark county.
-
B.
Oldedalen
Oldedalen is a scenic glacial valley in western Norway, known for its dramatic mountains, lakes, and access to nearby glaciers.
-
C.
Engerdal
Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
-
D.
Nordingrå
Nordingrå is a small locality in Sweden’s High Coast region, known for its coastal landscapes and traditional rural communities.
-
E.
Brumunddal
Brumunddal is a town in Ringsaker Municipality in Innlandet county, Norway, known as an administrative and commercial center on the eastern shore of Lake Mjøsa.
- F. None of above. chosen
Provenance (5 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd631a855c81909773737fd238a14d |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaf5a0988190b097ef71301aebbe |
completed | March 21, 2026, 1:57 a.m. |
| NEDg | Description generation | batch_69bdfc0964c881909e6b98a1c8ea747f |
completed | March 21, 2026, 2:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfce1be788190ae3418df301e5136 |
completed | March 21, 2026, 2:05 a.m. |
Created at: March 20, 2026, 1:15 p.m.