Triple
T19840776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uvdal Stave Church |
E476720
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Uvdal
Uvdal is a village and former municipality in Viken county, Norway, known for its traditional rural landscape and historic wooden architecture.
|
E1473551
|
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: Uvdal | Statement: [Uvdal Stave Church, locatedIn, Uvdal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uvdal Context triple: [Uvdal Stave Church, locatedIn, Uvdal]
-
A.
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.
-
B.
Engerdal
Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
-
C.
Vaksdal
Vaksdal is a village in Vestland county, Norway, situated along the Veafjorden and known for its historic textile industry and railway connections.
-
D.
Gravdal
Gravdal is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago.
-
E.
Verdal
Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
- 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: Uvdal Triple: [Uvdal Stave Church, locatedIn, Uvdal]
Generated description
Uvdal is a village and former municipality in Viken county, Norway, known for its traditional rural landscape and historic wooden architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uvdal Target entity description: Uvdal is a village and former municipality in Viken county, Norway, known for its traditional rural landscape and historic wooden architecture.
-
A.
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.
-
B.
Engerdal
Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
-
C.
Vaksdal
Vaksdal is a village in Vestland county, Norway, situated along the Veafjorden and known for its historic textile industry and railway connections.
-
D.
Gravdal
Gravdal is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago.
-
E.
Verdal
Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6580576748190b85e234b01209ae7 |
completed | April 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0986cab218819094dca848ea8ae19e |
completed | May 17, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_6a09876a38788190b2cef66b9d0c2f73 |
completed | May 17, 2026, 9:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09881c2d4c8190ab2cdf5dc99a43b0 |
completed | May 17, 2026, 9:19 a.m. |
Created at: April 10, 2026, 1:51 p.m.