Triple
T4446446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valdres |
E96299
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Valdresmål
Valdresmål is a traditional Norwegian dialect spoken in the Valdres region, known for its distinctive phonology and preservation of many Old Norse features.
|
E440927
|
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: Valdresmål | Statement: [Valdres, hasDialect, Valdresmål]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valdresmål Context triple: [Valdres, hasDialect, Valdresmål]
-
A.
Malangen
Malangen is a prominent fjord in northern Norway known for its scenic coastal landscapes and proximity to the city of Tromsø in Troms county.
-
B.
Malmøya
Malmøya is a notable island in the Oslofjord known for its natural landscapes and recreational areas near Oslo, Norway.
-
C.
Bremsnes
Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
-
D.
Trondenes
Trondenes is a historic former municipality and parish in northern Norway, known for its medieval stone church and role as an administrative center in the Harstad region.
-
E.
Svolvær
Svolvær is a coastal town in northern Norway that serves as a key fishing, tourism, and transport hub in the Lofoten archipelago.
- 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: Valdresmål Triple: [Valdres, hasDialect, Valdresmål]
Generated description
Valdresmål is a traditional Norwegian dialect spoken in the Valdres region, known for its distinctive phonology and preservation of many Old Norse features.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valdresmål Target entity description: Valdresmål is a traditional Norwegian dialect spoken in the Valdres region, known for its distinctive phonology and preservation of many Old Norse features.
-
A.
Malangen
Malangen is a prominent fjord in northern Norway known for its scenic coastal landscapes and proximity to the city of Tromsø in Troms county.
-
B.
Malmøya
Malmøya is a notable island in the Oslofjord known for its natural landscapes and recreational areas near Oslo, Norway.
-
C.
Bremsnes
Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
-
D.
Trondenes
Trondenes is a historic former municipality and parish in northern Norway, known for its medieval stone church and role as an administrative center in the Harstad region.
-
E.
Svolvær
Svolvær is a coastal town in northern Norway that serves as a key fishing, tourism, and transport hub in the Lofoten archipelago.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355d1eba08190899d0a3c1684ce4e |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b61386df48819080e44a23b9d67d23 |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b617c13d4481909d22d201ce405d3a |
completed | March 15, 2026, 2:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6187687f8819084e2d611e9e31f79 |
completed | March 15, 2026, 2:24 a.m. |
Created at: March 12, 2026, 11:32 p.m.