Triple
T22749266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midtre Gauldal |
E562644
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Singsås
Singsås is a small village in Trøndelag county, Norway, known for its rural setting along the Gaula River and its role as a local community center within Midtre Gauldal municipality.
|
E1551439
|
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: Singsås | Statement: [Midtre Gauldal, hasSettlement, Singsås]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Singsås Context triple: [Midtre Gauldal, hasSettlement, Singsås]
-
A.
Storås
Storås is a small village in Trøndelag county, Norway, known for its rural setting and local community within the former municipality of Meldal.
-
B.
Byåsen
Byåsen is a largely residential hillside district in Trondheim, Norway, known for its scenic views over the city and access to outdoor recreation areas.
-
C.
Lauvåsen
Lauvåsen is an island that forms part of the Flekkerøy archipelago in southern Norway.
-
D.
Lauvåsen
Lauvåsen is a hill that forms the highest elevation on the island of Tromøya in southern Norway.
-
E.
Såtenäs
Såtenäs is a locality in western Sweden best known as a major Swedish Air Force base and home of the F 7 Wing.
- 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: Singsås Triple: [Midtre Gauldal, hasSettlement, Singsås]
Generated description
Singsås is a small village in Trøndelag county, Norway, known for its rural setting along the Gaula River and its role as a local community center within Midtre Gauldal municipality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Singsås Target entity description: Singsås is a small village in Trøndelag county, Norway, known for its rural setting along the Gaula River and its role as a local community center within Midtre Gauldal municipality.
-
A.
Storås
Storås is a small village in Trøndelag county, Norway, known for its rural setting and local community within the former municipality of Meldal.
-
B.
Byåsen
Byåsen is a largely residential hillside district in Trondheim, Norway, known for its scenic views over the city and access to outdoor recreation areas.
-
C.
Lauvåsen
Lauvåsen is an island that forms part of the Flekkerøy archipelago in southern Norway.
-
D.
Lauvåsen
Lauvåsen is a hill that forms the highest elevation on the island of Tromøya in southern Norway.
-
E.
Såtenäs
Såtenäs is a locality in western Sweden best known as a major Swedish Air Force base and home of the F 7 Wing.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b822988190b5368ac1f4e1d70a |
completed | April 29, 2026, 3:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b8fd5c05c819091c2871dc9e4e9ca |
completed | May 18, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a0b90addad481909a69601ed3d50622 |
completed | May 18, 2026, 10:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b9118ebd48190adf5e7fd47408dc7 |
completed | May 18, 2026, 10:22 p.m. |
Created at: April 17, 2026, 3:24 p.m.