Triple
T22749216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melhus |
E562643
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Kvål
Kvål is a small village in Melhus municipality in Trøndelag county, central Norway.
|
E1551427
|
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: Kvål | Statement: [Melhus, hasSettlement, Kvål]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kvål Context triple: [Melhus, hasSettlement, Kvål]
-
A.
Kvam
Kvam is a municipality in Vestland county, western Norway, known for its scenic location along the Hardangerfjord and traditional fruit farming.
-
B.
Kvam
Kvam is a village in Innlandet county, Norway, serving as the local hub for services and administration in the Nord-Fron municipality.
-
C.
Kvitegga
Kvitegga is a prominent mountain peak in Norway’s Sunnmøre Alps, known for its alpine terrain and popular ski touring routes.
-
D.
Kvikne
Kvikne is a rural village area in central Norway, known historically for mining and as the birthplace of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
-
E.
Kvænangen
Kvænangen is a fjord in northern Norway known for its dramatic coastal scenery, rich marine life, and traditional fishing communities.
- 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: Kvål Triple: [Melhus, hasSettlement, Kvål]
Generated description
Kvål is a small village in Melhus municipality in Trøndelag county, central Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kvål Target entity description: Kvål is a small village in Melhus municipality in Trøndelag county, central Norway.
-
A.
Kvam
Kvam is a municipality in Vestland county, western Norway, known for its scenic location along the Hardangerfjord and traditional fruit farming.
-
B.
Kvam
Kvam is a village in Innlandet county, Norway, serving as the local hub for services and administration in the Nord-Fron municipality.
-
C.
Kvitegga
Kvitegga is a prominent mountain peak in Norway’s Sunnmøre Alps, known for its alpine terrain and popular ski touring routes.
-
D.
Kvikne
Kvikne is a rural village area in central Norway, known historically for mining and as the birthplace of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
-
E.
Kvænangen
Kvænangen is a fjord in northern Norway known for its dramatic coastal scenery, rich marine life, and traditional fishing communities.
- 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.