Triple
T21045727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justøya |
E518442
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Brekkestø
Brekkestø is a small historic coastal village and former outport in southern Norway, known for its well-preserved wooden houses and popularity as a summer holiday destination.
|
E1463297
|
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: Brekkestø | Statement: [Justøya, hasSettlement, Brekkestø]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brekkestø Context triple: [Justøya, hasSettlement, Brekkestø]
-
A.
Brekke
Brekke is a neighborhood in the Nordre Aker borough of Oslo, Norway.
-
B.
Brekstad
Brekstad is a coastal town in central Norway that serves as an administrative and commercial center for the Fosen region.
-
C.
Bremsnes
Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
-
D.
Enebakk
Enebakk is a rural municipality in Viken county, Norway, known for its forests, lakes, and proximity to the Oslo metropolitan area.
-
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: Brekkestø Triple: [Justøya, hasSettlement, Brekkestø]
Generated description
Brekkestø is a small historic coastal village and former outport in southern Norway, known for its well-preserved wooden houses and popularity as a summer holiday destination.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brekkestø Target entity description: Brekkestø is a small historic coastal village and former outport in southern Norway, known for its well-preserved wooden houses and popularity as a summer holiday destination.
-
A.
Brekke
Brekke is a neighborhood in the Nordre Aker borough of Oslo, Norway.
-
B.
Brekstad
Brekstad is a coastal town in central Norway that serves as an administrative and commercial center for the Fosen region.
-
C.
Bremsnes
Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
-
D.
Enebakk
Enebakk is a rural municipality in Viken county, Norway, known for its forests, lakes, and proximity to the Oslo metropolitan area.
-
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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf3cac081909915a440fbb5c084 |
completed | April 21, 2026, 4:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09475512b081908ceb38a118b0f026 |
completed | May 17, 2026, 4:43 a.m. |
| NEDg | Description generation | batch_6a09489e80288190b401d11ccde39dc1 |
completed | May 17, 2026, 4:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a094995d5bc8190b25d328dbf06b8b1 |
completed | May 17, 2026, 4:52 a.m. |
Created at: April 16, 2026, 2:32 p.m.