Triple
T13471557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Averøy Municipality |
E311640
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Kornstadlandet
Kornstadlandet is a Norwegian island located in Møre og Romsdal county, forming part of the coastal landscape of Averøy.
|
E1042332
|
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: Kornstadlandet | Statement: [Averøy Municipality, hasIsland, Kornstadlandet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kornstadlandet Context triple: [Averøy Municipality, hasIsland, Kornstadlandet]
-
A.
Bakklandet
Bakklandet is a historic, picturesque neighborhood in Trondheim, Norway, known for its colorful wooden houses, cobbled streets, and riverside cafés.
-
B.
Akkerhaugen
Akkerhaugen is a small village in Telemark, Norway, known for its scenic lakeside setting and role as a local hub for tourism and agriculture.
-
C.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
-
D.
Svarstad
Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
-
E.
Haugalandet
Haugalandet is a coastal region in western Norway centered around the town of Haugesund, known for its maritime heritage and North Sea industries.
- 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: Kornstadlandet Triple: [Averøy Municipality, hasIsland, Kornstadlandet]
Generated description
Kornstadlandet is a Norwegian island located in Møre og Romsdal county, forming part of the coastal landscape of Averøy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kornstadlandet Target entity description: Kornstadlandet is a Norwegian island located in Møre og Romsdal county, forming part of the coastal landscape of Averøy.
-
A.
Bakklandet
Bakklandet is a historic, picturesque neighborhood in Trondheim, Norway, known for its colorful wooden houses, cobbled streets, and riverside cafés.
-
B.
Akkerhaugen
Akkerhaugen is a small village in Telemark, Norway, known for its scenic lakeside setting and role as a local hub for tourism and agriculture.
-
C.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
-
D.
Svarstad
Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
-
E.
Haugalandet
Haugalandet is a coastal region in western Norway centered around the town of Haugesund, known for its maritime heritage and North Sea industries.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf22e5f88190b1078f006c8ef7c0 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7462bcb848190804a48f1a50a0c71 |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f74af641f881908af981d251e671be |
completed | May 3, 2026, 1:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74b78bd508190a10708572a6e9309 |
completed | May 3, 2026, 1:19 p.m. |
Created at: April 9, 2026, 9:42 p.m.