Triple
T6426068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namdalen |
E128060
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Røyrvik
Røyrvik is a small rural municipality in Trøndelag county, Norway, known for its mountainous landscapes, reindeer herding traditions, and proximity to Børgefjell National Park.
|
E686711
|
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: Røyrvik | Statement: [Namdalen, containsMunicipality, Røyrvik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Røyrvik Context triple: [Namdalen, containsMunicipality, Røyrvik]
-
A.
Kragerø
Kragerø is a coastal town in Norway renowned for its picturesque archipelago, historic wooden buildings, and role as a popular summer holiday destination.
-
B.
Håvik
Håvik is a small coastal village located in Karmøy municipality in Rogaland county, southwestern Norway.
-
C.
Tingvoll
Tingvoll is a small municipality and village area in western Norway known for its rural landscape, fjords, and agricultural traditions.
-
D.
Røyken
Røyken is a former municipality and suburban area in southeastern Norway, located along the Oslofjord and historically part of Buskerud county.
-
E.
Sokndal
Sokndal is a coastal municipality in Rogaland county in southwestern Norway, known for its rugged coastline, historic settlements, and distinctive geological landscapes.
- 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: Røyrvik Triple: [Namdalen, containsMunicipality, Røyrvik]
Generated description
Røyrvik is a small rural municipality in Trøndelag county, Norway, known for its mountainous landscapes, reindeer herding traditions, and proximity to Børgefjell National Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Røyrvik Target entity description: Røyrvik is a small rural municipality in Trøndelag county, Norway, known for its mountainous landscapes, reindeer herding traditions, and proximity to Børgefjell National Park.
-
A.
Kragerø
Kragerø is a coastal town in Norway renowned for its picturesque archipelago, historic wooden buildings, and role as a popular summer holiday destination.
-
B.
Håvik
Håvik is a small coastal village located in Karmøy municipality in Rogaland county, southwestern Norway.
-
C.
Tingvoll
Tingvoll is a small municipality and village area in western Norway known for its rural landscape, fjords, and agricultural traditions.
-
D.
Røyken
Røyken is a former municipality and suburban area in southeastern Norway, located along the Oslofjord and historically part of Buskerud county.
-
E.
Sokndal
Sokndal is a coastal municipality in Rogaland county in southwestern Norway, known for its rugged coastline, historic settlements, and distinctive geological landscapes.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0691f944c81909d4e5d8ef9e494b6 |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7a4eddc81908148e3428c69d654 |
completed | March 29, 2026, 6:33 a.m. |
| NEDg | Description generation | batch_69c8c848b9348190b8359105000411e8 |
completed | March 29, 2026, 6:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c8b920c48190875c89eea6aecc8a |
completed | March 29, 2026, 6:37 a.m. |
Created at: March 22, 2026, 4:43 p.m.