Triple
T13808330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sel municipality |
E331816
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Bjølstad
Bjølstad is a small settlement located in Sel municipality in Innlandet county, Norway, known for its rural setting in the Gudbrandsdalen valley region.
|
E1090817
|
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: Bjølstad | Statement: [Sel municipality, containsSettlement, Bjølstad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bjølstad Context triple: [Sel municipality, containsSettlement, Bjølstad]
-
A.
Bøstad
Bøstad is a small village in the Lofoten archipelago of Nordland county, Norway, known for its scenic coastal landscape and proximity to Viking-era historical sites.
-
B.
Myklebostad
Myklebostad is a small village located on the island of Tjeldøya in northern Norway.
-
C.
Svarstad
Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
-
D.
Ottosdal
Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
-
E.
Bjerke
Bjerke is a neighborhood in the Bjerke borough of Oslo, Norway, known primarily as a residential area with local services and amenities.
- 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: Bjølstad Triple: [Sel municipality, containsSettlement, Bjølstad]
Generated description
Bjølstad is a small settlement located in Sel municipality in Innlandet county, Norway, known for its rural setting in the Gudbrandsdalen valley region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bjølstad Target entity description: Bjølstad is a small settlement located in Sel municipality in Innlandet county, Norway, known for its rural setting in the Gudbrandsdalen valley region.
-
A.
Bøstad
Bøstad is a small village in the Lofoten archipelago of Nordland county, Norway, known for its scenic coastal landscape and proximity to Viking-era historical sites.
-
B.
Myklebostad
Myklebostad is a small village located on the island of Tjeldøya in northern Norway.
-
C.
Svarstad
Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
-
D.
Ottosdal
Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
-
E.
Bjerke
Bjerke is a neighborhood in the Bjerke borough of Oslo, Norway, known primarily as a residential area with local services and amenities.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026eae8481908b8880635e6a9152 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3cfd550c81909ad487d3d7d7c313 |
completed | May 8, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69fd3d7d85648190b44cf505fad5c1b5 |
completed | May 8, 2026, 1:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3dde84d8819098f9726f77c2adba |
completed | May 8, 2026, 1:35 a.m. |
Created at: April 9, 2026, 10:12 p.m.