Triple
T16242846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Askøy |
E394295
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Kollevåg
Kollevåg is a coastal area and recreational spot on the island of Askøy in western Norway, known for its beaches and outdoor activities near Bergen.
|
E1219124
|
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: Kollevåg | Statement: [Askøy, hasIsland, Kollevåg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kollevåg Context triple: [Askøy, hasIsland, Kollevåg]
-
A.
Vikevåg
Vikevåg is a village in Rogaland county, Norway, known for its coastal setting and role in local administration and services.
-
B.
Tveitevåg
Tveitevåg is a small coastal village in western Norway, located on the island of Askøy in Vestland county.
-
C.
Kalvåg
Kalvåg is a coastal fishing village in Bremanger Municipality in Vestland county, Norway, known for its well-preserved wooden waterfront buildings and maritime heritage.
-
D.
Sagvåg
Sagvåg is a village on the island municipality of Stord in Vestland county, Norway, known for its coastal setting and local maritime industry.
-
E.
Kjerknesvågen
Kjerknesvågen is a small coastal village in the municipality of Inderøy in Trøndelag county, Norway, known for its scenic fjordside setting and rural character.
- 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: Kollevåg Triple: [Askøy, hasIsland, Kollevåg]
Generated description
Kollevåg is a coastal area and recreational spot on the island of Askøy in western Norway, known for its beaches and outdoor activities near Bergen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kollevåg Target entity description: Kollevåg is a coastal area and recreational spot on the island of Askøy in western Norway, known for its beaches and outdoor activities near Bergen.
-
A.
Vikevåg
Vikevåg is a village in Rogaland county, Norway, known for its coastal setting and role in local administration and services.
-
B.
Tveitevåg
chosen
Tveitevåg is a small coastal village in western Norway, located on the island of Askøy in Vestland county.
-
C.
Kalvåg
Kalvåg is a coastal fishing village in Bremanger Municipality in Vestland county, Norway, known for its well-preserved wooden waterfront buildings and maritime heritage.
-
D.
Sagvåg
Sagvåg is a village on the island municipality of Stord in Vestland county, Norway, known for its coastal setting and local maritime industry.
-
E.
Kjerknesvågen
Kjerknesvågen is a small coastal village in the municipality of Inderøy in Trøndelag county, Norway, known for its scenic fjordside setting and rural character.
- F. None of above.
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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24560060c8190ace4f4c0bd0d886d |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075856f1881908548579b241e8009 |
completed | May 10, 2026, 12:09 p.m. |
| NEDg | Description generation | batch_6a0079bf50dc8190a20057ef8a738e1d |
completed | May 10, 2026, 12:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007a34b42081908a77a3913c40377f |
completed | May 10, 2026, 12:29 p.m. |
Created at: April 10, 2026, 5:04 a.m.