Triple
T5965512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inderøy |
E132741
|
entity |
| Predicate | hasAdministrativeCentre |
P1474
|
FINISHED |
| Object |
Straumen
Straumen is a village in Trøndelag county, Norway, serving as the main local hub for services and administration in the Inderøy area.
|
E563386
|
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: Straumen | Statement: [Inderøy, hasAdministrativeCentre, Straumen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Straumen Context triple: [Inderøy, hasAdministrativeCentre, Straumen]
-
A.
Sotra
Sotra is a large, populated island off the west coast of Norway, known for its rugged coastline, fishing communities, and proximity to the city of Bergen.
-
B.
Hadsel
Hadsel is a coastal municipality in Nordland county, Norway, known for encompassing several islands in the Vesterålen archipelago, including parts of Hadseløya, Langøya, and Austvågøya.
-
C.
Brattvåg
Brattvåg is a small coastal village in western Norway known for its maritime industry and scenic fjord landscape.
-
D.
Sørkjosen
Sørkjosen is a small coastal village in Northern Norway known as a gateway to the Reisa valley and Reisa National Park.
-
E.
Vikersund
Vikersund is a village in Modum municipality in Buskerud, Norway, best known for hosting one of the world’s largest ski flying hills, Vikersundbakken.
- 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: Straumen Triple: [Inderøy, hasAdministrativeCentre, Straumen]
Generated description
Straumen is a village in Trøndelag county, Norway, serving as the main local hub for services and administration in the Inderøy area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Straumen Target entity description: Straumen is a village in Trøndelag county, Norway, serving as the main local hub for services and administration in the Inderøy area.
-
A.
Sotra
Sotra is a large, populated island off the west coast of Norway, known for its rugged coastline, fishing communities, and proximity to the city of Bergen.
-
B.
Hadsel
Hadsel is a coastal municipality in Nordland county, Norway, known for encompassing several islands in the Vesterålen archipelago, including parts of Hadseløya, Langøya, and Austvågøya.
-
C.
Brattvåg
Brattvåg is a small coastal village in western Norway known for its maritime industry and scenic fjord landscape.
-
D.
Sørkjosen
Sørkjosen is a small coastal village in Northern Norway known as a gateway to the Reisa valley and Reisa National Park.
-
E.
Vikersund
Vikersund is a village in Modum municipality in Buskerud, Norway, best known for hosting one of the world’s largest ski flying hills, Vikersundbakken.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a3ca1dc819098cde8ae5ec1d845 |
completed | March 22, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c113585ad88190a35d549448b10def |
completed | March 23, 2026, 10:18 a.m. |
| NEDg | Description generation | batch_69c113de5d788190affa46cf416d180d |
completed | March 23, 2026, 10:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1144e77f881908ab59a67160c1630 |
completed | March 23, 2026, 10:22 a.m. |
Created at: March 22, 2026, 4:03 p.m.