Triple
T2912286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Froland |
E63709
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Mjølhus
Mjølhus is a small settlement located within the municipality of Froland in Agder county, Norway.
|
E308949
|
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: Mjølhus | Statement: [Froland, hasSettlement, Mjølhus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mjølhus Context triple: [Froland, hasSettlement, Mjølhus]
-
A.
Skedsmo
Skedsmo is a former municipality in Viken county, Norway, located northeast of Oslo and known for its suburban communities and historical ties to the Oslo region.
-
B.
Mortensrud
Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
-
C.
Vikingsholm
Vikingsholm is a historic Scandinavian-style stone mansion and former summer home located on the shores of Emerald Bay at Lake Tahoe in California.
-
D.
Vegårshei
Vegårshei is a rural municipality in Agder county in southern Norway, known for its forests, lakes, and traditional inland communities.
-
E.
St. Hanshaugen
St. Hanshaugen is a central borough of Oslo, Norway, known for its large hillside park and vibrant urban residential areas.
- 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: Mjølhus Triple: [Froland, hasSettlement, Mjølhus]
Generated description
Mjølhus is a small settlement located within the municipality of Froland in Agder county, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mjølhus Target entity description: Mjølhus is a small settlement located within the municipality of Froland in Agder county, Norway.
-
A.
Skedsmo
Skedsmo is a former municipality in Viken county, Norway, located northeast of Oslo and known for its suburban communities and historical ties to the Oslo region.
-
B.
Mortensrud
Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
-
C.
Vikingsholm
Vikingsholm is a historic Scandinavian-style stone mansion and former summer home located on the shores of Emerald Bay at Lake Tahoe in California.
-
D.
Vegårshei
Vegårshei is a rural municipality in Agder county in southern Norway, known for its forests, lakes, and traditional inland communities.
-
E.
St. Hanshaugen
St. Hanshaugen is a central borough of Oslo, Norway, known for its large hillside park and vibrant urban residential areas.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0eb77708190b745b887f3b9a618 |
completed | March 7, 2026, 8:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0562014fc8190b7b702fa40682382 |
completed | March 10, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69b05f7e78e8819095185f170ca26bda |
completed | March 10, 2026, 6:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0617a21a881909a0f52268a2494a6 |
completed | March 10, 2026, 6:22 p.m. |
Created at: March 6, 2026, 10:11 p.m.