Triple
T5965521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inderøy |
E132741
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Røra
Røra is a small village in the municipality of Inderøy in Trøndelag county, Norway, known for its rural setting and local food industry.
|
E580791
|
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: Røra | Statement: [Inderøy, hasSettlement, Røra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Røra Context triple: [Inderøy, hasSettlement, Røra]
-
A.
Sørenga
Sørenga is a modern waterfront neighborhood in Oslo, Norway, known for its residential developments, seaside promenade, and popular public seawater pool and beach.
-
B.
Nordingrå
Nordingrå is a small locality in Sweden’s High Coast region, known for its coastal landscapes and traditional rural communities.
-
C.
Ringerike
Ringerike is a historic district and municipality in southeastern Norway known for its rich Viking-age heritage and distinctive cultural traditions.
-
D.
Romsdalen
Romsdalen is a dramatic valley in western Norway known for its steep mountains, deep river gorge, and popular hiking and climbing routes.
-
E.
Valldal
Valldal is a village in western Norway known for its scenic fjord landscape and strawberry farming, situated in the county of Møre og Romsdal.
- 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: Røra Triple: [Inderøy, hasSettlement, Røra]
Generated description
Røra is a small village in the municipality of Inderøy in Trøndelag county, Norway, known for its rural setting and local food industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Røra Target entity description: Røra is a small village in the municipality of Inderøy in Trøndelag county, Norway, known for its rural setting and local food industry.
-
A.
Sørenga
Sørenga is a modern waterfront neighborhood in Oslo, Norway, known for its residential developments, seaside promenade, and popular public seawater pool and beach.
-
B.
Nordingrå
Nordingrå is a small locality in Sweden’s High Coast region, known for its coastal landscapes and traditional rural communities.
-
C.
Ringerike
Ringerike is a historic district and municipality in southeastern Norway known for its rich Viking-age heritage and distinctive cultural traditions.
-
D.
Romsdalen
Romsdalen is a dramatic valley in western Norway known for its steep mountains, deep river gorge, and popular hiking and climbing routes.
-
E.
Valldal
Valldal is a village in western Norway known for its scenic fjord landscape and strawberry farming, situated in the county of Møre og Romsdal.
- 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_69c2439f6cc08190bb7a4c6a0b7727c6 |
completed | March 24, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69c4fb66b8e8819090524d1ef12688a7 |
completed | March 26, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c4fc3065bc81908d95fbd3d4655c76 |
completed | March 26, 2026, 9:28 a.m. |
Created at: March 22, 2026, 4:03 p.m.