Triple
T14126196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Øksnes |
E340039
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Stø
Stø is a small coastal fishing village in Øksnes Municipality in Nordland county, Norway, known for its traditional fishing industry and access to rich marine wildlife.
|
E1081319
|
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: Stø | Statement: [Øksnes, hasSettlement, Stø]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stø Context triple: [Øksnes, hasSettlement, Stø]
-
A.
Støren
Støren is a village in Trøndelag county, Norway, serving as a local commercial and transportation hub in the Gauldalen valley.
-
B.
Støre
Støre is a Norwegian surname most prominently associated with Jonas Gahr Støre, the Prime Minister of Norway and leader of the Labour Party.
-
C.
Strømsø
Strømsø is a historic district and former separate town that now forms part of the city of Drammen in Norway.
-
D.
Strøget
Strøget is one of Europe's longest and oldest pedestrian shopping streets, located in the historic center of Copenhagen, Denmark.
-
E.
Tjøme
Tjøme is a scenic island and former municipality in Vestfold, Norway, known for its coastal landscapes, summer cabins, and popular seaside recreation 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: Stø Triple: [Øksnes, hasSettlement, Stø]
Generated description
Stø is a small coastal fishing village in Øksnes Municipality in Nordland county, Norway, known for its traditional fishing industry and access to rich marine wildlife.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stø Target entity description: Stø is a small coastal fishing village in Øksnes Municipality in Nordland county, Norway, known for its traditional fishing industry and access to rich marine wildlife.
-
A.
Støren
Støren is a village in Trøndelag county, Norway, serving as a local commercial and transportation hub in the Gauldalen valley.
-
B.
Støre
Støre is a Norwegian surname most prominently associated with Jonas Gahr Støre, the Prime Minister of Norway and leader of the Labour Party.
-
C.
Strømsø
Strømsø is a historic district and former separate town that now forms part of the city of Drammen in Norway.
-
D.
Strøget
Strøget is one of Europe's longest and oldest pedestrian shopping streets, located in the historic center of Copenhagen, Denmark.
-
E.
Tjøme
Tjøme is a scenic island and former municipality in Vestfold, Norway, known for its coastal landscapes, summer cabins, and popular seaside recreation 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6096976481909dc79066c5165a50 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf0c833081908458e4eaee689df7 |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce094bf3081909f7c0097dcb63398 |
completed | May 7, 2026, 6:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce14ff8e48190b3b663d130d18418 |
completed | May 7, 2026, 7 p.m. |
Created at: April 9, 2026, 10:22 p.m.