Triple
T17831138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nord-Aurdal |
E445257
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Skrautvål
Skrautvål is a small village in Nord-Aurdal Municipality in Innlandet county, Norway, known for its rural setting in the Valdres region and traditional Norwegian countryside character.
|
E1291214
|
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: Skrautvål | Statement: [Nord-Aurdal, hasSettlement, Skrautvål]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skrautvål Context triple: [Nord-Aurdal, hasSettlement, Skrautvål]
-
A.
Krokkleiva
Krokkleiva is a notable geographic feature in the municipality of Hole in Norway, known for its steep terrain and scenic surroundings.
-
B.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
C.
Skärplinge
Skärplinge is a small locality in Uppsala County, Sweden, known for its rural character and role as a local service center within Tierp Municipality.
-
D.
Skreia
Skreia is a village in Østre Toten Municipality in Innlandet county, Norway, known for its rural setting near Lake Mjøsa.
-
E.
Sveg
Sveg is a small town in central Sweden known as an administrative and service hub in the sparsely populated province of Härjedalen.
- 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: Skrautvål Triple: [Nord-Aurdal, hasSettlement, Skrautvål]
Generated description
Skrautvål is a small village in Nord-Aurdal Municipality in Innlandet county, Norway, known for its rural setting in the Valdres region and traditional Norwegian countryside character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skrautvål Target entity description: Skrautvål is a small village in Nord-Aurdal Municipality in Innlandet county, Norway, known for its rural setting in the Valdres region and traditional Norwegian countryside character.
-
A.
Krokkleiva
Krokkleiva is a notable geographic feature in the municipality of Hole in Norway, known for its steep terrain and scenic surroundings.
-
B.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
C.
Skärplinge
Skärplinge is a small locality in Uppsala County, Sweden, known for its rural character and role as a local service center within Tierp Municipality.
-
D.
Skreia
Skreia is a village in Østre Toten Municipality in Innlandet county, Norway, known for its rural setting near Lake Mjøsa.
-
E.
Sveg
Sveg is a small town in central Sweden known as an administrative and service hub in the sparsely populated province of Härjedalen.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d248ecc8190b3f0d001b539d960 |
completed | April 19, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0306f656788190814c2659b53e98ae |
completed | May 12, 2026, 10:54 a.m. |
| NEDg | Description generation | batch_6a0307af95bc819099ff1322c091d04a |
completed | May 12, 2026, 10:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0308a29f1081909a44c221aefb723c |
completed | May 12, 2026, 11:01 a.m. |
Created at: April 10, 2026, 10:15 a.m.