Triple
T2207523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moss |
E50834
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object |
Våler (Østfold)
Våler (Østfold) is a rural municipality in Viken county, Norway, known for its forests, agriculture, and traditional village character.
|
E244460
|
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: Våler (Østfold) | Statement: [Moss, hasNeighbour, Våler (Østfold)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Våler (Østfold) Context triple: [Moss, hasNeighbour, Våler (Østfold)]
-
A.
Verdal
Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
-
B.
Vegårshei
Vegårshei is a rural municipality in Agder county in southern Norway, known for its forests, lakes, and traditional inland communities.
-
C.
Fosnavåg
Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
-
D.
Larvik
Larvik is a coastal town and municipality in Vestfold, Norway, known for its harbor, beaches, and historic connections to the shipping and timber industries.
-
E.
Orkdalen
Orkdalen is a valley and traditional district in central Norway known for the Orkla River and its agricultural landscapes within Trøndelag county.
- 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: Våler (Østfold) Triple: [Moss, hasNeighbour, Våler (Østfold)]
Generated description
Våler (Østfold) is a rural municipality in Viken county, Norway, known for its forests, agriculture, and traditional village character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Våler (Østfold) Target entity description: Våler (Østfold) is a rural municipality in Viken county, Norway, known for its forests, agriculture, and traditional village character.
-
A.
Verdal
Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
-
B.
Vegårshei
Vegårshei is a rural municipality in Agder county in southern Norway, known for its forests, lakes, and traditional inland communities.
-
C.
Fosnavåg
Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
-
D.
Larvik
Larvik is a coastal town and municipality in Vestfold, Norway, known for its harbor, beaches, and historic connections to the shipping and timber industries.
-
E.
Orkdalen
Orkdalen is a valley and traditional district in central Norway known for the Orkla River and its agricultural landscapes within Trøndelag county.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfcbb83081908d5b2f1603c7b4d2 |
completed | March 7, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae654e22b48190bb40f7c61bb359b1 |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae6608d3ac8190923cd6a6ce7c4c89 |
completed | March 9, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae66a751f881908fda164de72dac9b |
completed | March 9, 2026, 6:20 a.m. |
Created at: March 4, 2026, 7:46 p.m.