Triple
T20595187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ørland |
E506032
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Høybakken
Høybakken is a small coastal village in Trøndelag county, Norway, situated within the municipality of Ørland.
|
E1440465
|
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: Høybakken | Statement: [Ørland, hasSettlement, Høybakken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Høybakken Context triple: [Ørland, hasSettlement, Høybakken]
-
A.
Høyblokka
Høyblokka is a prominent modernist high-rise government office building in central Oslo, Norway, known for housing key parts of the Norwegian government.
-
B.
Lysgårdsbakken
Lysgårdsbakken is a large ski jumping hill complex in Lillehammer, Norway, best known for hosting the ski jumping events of the 1994 Winter Olympics.
-
C.
Haugastøl
Haugastøl is a small Norwegian mountain settlement and transport hub in Hol, Buskerud, known as a gateway to the Hardangervidda plateau and surrounding peaks.
-
D.
Skøyenåsen
Skøyenåsen is a residential neighborhood in Oslo, Norway, known for its green surroundings and access to public transportation.
-
E.
Skjønhaug
Skjønhaug is a village in Østfold, Norway, serving as the main local hub for services and administration in the former municipality of Trøgstad.
- 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: Høybakken Triple: [Ørland, hasSettlement, Høybakken]
Generated description
Høybakken is a small coastal village in Trøndelag county, Norway, situated within the municipality of Ørland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Høybakken Target entity description: Høybakken is a small coastal village in Trøndelag county, Norway, situated within the municipality of Ørland.
-
A.
Høyblokka
Høyblokka is a prominent modernist high-rise government office building in central Oslo, Norway, known for housing key parts of the Norwegian government.
-
B.
Lysgårdsbakken
Lysgårdsbakken is a large ski jumping hill complex in Lillehammer, Norway, best known for hosting the ski jumping events of the 1994 Winter Olympics.
-
C.
Haugastøl
Haugastøl is a small Norwegian mountain settlement and transport hub in Hol, Buskerud, known as a gateway to the Hardangervidda plateau and surrounding peaks.
-
D.
Skøyenåsen
Skøyenåsen is a residential neighborhood in Oslo, Norway, known for its green surroundings and access to public transportation.
-
E.
Skjønhaug
Skjønhaug is a village in Østfold, Norway, serving as the main local hub for services and administration in the former municipality of Trøgstad.
- 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa1b1c6c8190a2d85e7a390fc6a5 |
completed | April 20, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08b3ecd2ac8190af9e382780611490 |
completed | May 16, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_6a08b82c70108190b53f435e0f0fcbaa |
completed | May 16, 2026, 6:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08b8839c6c8190b6f907bee09eb8be |
completed | May 16, 2026, 6:33 p.m. |
Created at: April 16, 2026, 11:40 a.m.