Triple
T4657823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hedmark |
E102451
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Alvdal
Alvdal is a rural municipality in Innlandet county, Norway, known for its agricultural landscape, outdoor recreation, and association with the author Kjell Aukrust.
|
E507103
|
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: Alvdal | Statement: [Hedmark, hasMunicipality, Alvdal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alvdal Context triple: [Hedmark, hasMunicipality, Alvdal]
-
A.
Verdal
Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
-
B.
Stor-Elvdal
Stor-Elvdal is a large, sparsely populated rural municipality in Innlandet county, Norway, known for its forests, river valleys, and outdoor recreation.
-
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.
Älvdalen
Älvdalen is a small municipality in central Sweden known for its forested landscapes, traditional culture, and preservation of the unique Elfdalian language.
-
E.
Oppdal
Oppdal is a Norwegian mountain municipality and popular ski and outdoor recreation destination in central Norway.
- 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: Alvdal Triple: [Hedmark, hasMunicipality, Alvdal]
Generated description
Alvdal is a rural municipality in Innlandet county, Norway, known for its agricultural landscape, outdoor recreation, and association with the author Kjell Aukrust.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alvdal Target entity description: Alvdal is a rural municipality in Innlandet county, Norway, known for its agricultural landscape, outdoor recreation, and association with the author Kjell Aukrust.
-
A.
Verdal
Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
-
B.
Stor-Elvdal
Stor-Elvdal is a large, sparsely populated rural municipality in Innlandet county, Norway, known for its forests, river valleys, and outdoor recreation.
-
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.
Älvdalen
Älvdalen is a small municipality in central Sweden known for its forested landscapes, traditional culture, and preservation of the unique Elfdalian language.
-
E.
Oppdal
Oppdal is a Norwegian mountain municipality and popular ski and outdoor recreation destination in central Norway.
- 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_69befe41822c8190b406c192170af3d1 |
completed | March 21, 2026, 8:23 p.m. |
| NEDg | Description generation | batch_69beff4322308190b252820e7213f05e |
completed | March 21, 2026, 8:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beffe02d208190b857d6aaa4d85dae |
completed | March 21, 2026, 8:30 p.m. |
Created at: March 20, 2026, 1:15 p.m.