Triple
T21141886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flekkerøy |
E520951
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Mæbø
Mæbø is an island associated with the Flekkerøy archipelago in southern Norway.
|
E1468708
|
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: Mæbø | Statement: [Flekkerøy, hasIsland, Mæbø]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mæbø Context triple: [Flekkerøy, hasIsland, Mæbø]
-
A.
Thyborøn
Thyborøn is a coastal fishing town and tourist destination in western Jutland, Denmark, known for its harbor, North Sea beaches, and World War II coastal fortifications.
-
B.
Mårslet
Mårslet is a suburban village and residential area located just south of the city of Aarhus in Denmark.
-
C.
Maihaugen
Maihaugen is a large open-air museum in Lillehammer, Norway, showcasing historic buildings and cultural history from the Gudbrandsdalen region and Norwegian life over several centuries.
-
D.
Kvænangen
Kvænangen is a fjord in northern Norway known for its dramatic coastal scenery, rich marine life, and traditional fishing communities.
-
E.
Steenodde
Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
- 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: Mæbø Triple: [Flekkerøy, hasIsland, Mæbø]
Generated description
Mæbø is an island associated with the Flekkerøy archipelago in southern Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mæbø Target entity description: Mæbø is an island associated with the Flekkerøy archipelago in southern Norway.
-
A.
Thyborøn
Thyborøn is a coastal fishing town and tourist destination in western Jutland, Denmark, known for its harbor, North Sea beaches, and World War II coastal fortifications.
-
B.
Mårslet
Mårslet is a suburban village and residential area located just south of the city of Aarhus in Denmark.
-
C.
Maihaugen
Maihaugen is a large open-air museum in Lillehammer, Norway, showcasing historic buildings and cultural history from the Gudbrandsdalen region and Norwegian life over several centuries.
-
D.
Kvænangen
Kvænangen is a fjord in northern Norway known for its dramatic coastal scenery, rich marine life, and traditional fishing communities.
-
E.
Steenodde
Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723f96cf081909d10309e08aeca93 |
completed | April 21, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a096dbe776c8190b2d63775974a115a |
completed | May 17, 2026, 7:26 a.m. |
| NEDg | Description generation | batch_6a096f07e1d881908b849131b110478c |
completed | May 17, 2026, 7:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a096f9bb0988190839e2e5371020757 |
completed | May 17, 2026, 7:34 a.m. |
Created at: April 16, 2026, 2:57 p.m.