Triple
T13808302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vestre Toten municipality |
E331815
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Bøverbru
Bøverbru is a small village in Innlandet county, Norway, known for its rural setting and role as a local community center within Vestre Toten.
|
E1062781
|
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: Bøverbru | Statement: [Vestre Toten municipality, hasSettlement, Bøverbru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bøverbru Context triple: [Vestre Toten municipality, hasSettlement, Bøverbru]
-
A.
Bøvra
Bøvra is a river in Lom Municipality in Innlandet county, Norway, known for flowing through a mountainous valley landscape.
-
B.
Bøur
Bøur is a small, picturesque village on the Faroe Islands known for its traditional turf-roofed houses and scenic views of nearby islets and sea cliffs.
-
C.
Bøler
Bøler is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its post-war apartment blocks, green surroundings, and access to the Østmarka forest.
-
D.
Brüllingsen
Brüllingsen is a small village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
-
E.
Ervebo
Ervebo is a recombinant, live-attenuated vaccine developed to protect humans against infection by the Zaire ebolavirus.
- 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: Bøverbru Triple: [Vestre Toten municipality, hasSettlement, Bøverbru]
Generated description
Bøverbru is a small village in Innlandet county, Norway, known for its rural setting and role as a local community center within Vestre Toten.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bøverbru Target entity description: Bøverbru is a small village in Innlandet county, Norway, known for its rural setting and role as a local community center within Vestre Toten.
-
A.
Bøvra
Bøvra is a river in Lom Municipality in Innlandet county, Norway, known for flowing through a mountainous valley landscape.
-
B.
Bøur
Bøur is a small, picturesque village on the Faroe Islands known for its traditional turf-roofed houses and scenic views of nearby islets and sea cliffs.
-
C.
Bøler
Bøler is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its post-war apartment blocks, green surroundings, and access to the Østmarka forest.
-
D.
Brüllingsen
Brüllingsen is a small village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
-
E.
Ervebo
Ervebo is a recombinant, live-attenuated vaccine developed to protect humans against infection by the Zaire ebolavirus.
- 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_69f7b08fbc348190a199c5d92e0e46be |
completed | May 3, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69f7b15143108190a49a09afba93eb45 |
completed | May 3, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b50c31ac81909b17013d57dda164 |
completed | May 3, 2026, 8:50 p.m. |
Created at: April 9, 2026, 10:12 p.m.