Triple
T15759828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolltveit |
E382065
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Øygarden
Øygarden is a coastal municipality in Vestland county, Norway, known for its chain of islands, fishing communities, and North Sea energy infrastructure.
|
E1288209
|
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: Øygarden | Statement: [Kolltveit, partOf, Øygarden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Øygarden Context triple: [Kolltveit, partOf, Øygarden]
-
A.
Tjeldøya
Tjeldøya is an island in northern Norway known for its rugged coastal landscape and location within the Ofoten region.
-
B.
Storøya
Storøya is an island located in the lake Tyrifjorden in Norway.
-
C.
Brønnøya
Brønnøya is a scenic island in the Oslofjord known for its holiday homes, nature trails, and car-free environment, located within the municipality of Asker in Norway.
-
D.
Flakstadøya
Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
-
E.
Oslo archipelago
The Oslo archipelago is a scenic collection of islands and skerries in the Oslofjord, popular for boating, swimming, and outdoor recreation near Norway’s capital.
- 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: Øygarden Triple: [Kolltveit, partOf, Øygarden]
Generated description
Øygarden is a coastal municipality in Vestland county, Norway, known for its chain of islands, fishing communities, and North Sea energy infrastructure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Øygarden Target entity description: Øygarden is a coastal municipality in Vestland county, Norway, known for its chain of islands, fishing communities, and North Sea energy infrastructure.
-
A.
Tjeldøya
Tjeldøya is an island in northern Norway known for its rugged coastal landscape and location within the Ofoten region.
-
B.
Storøya
Storøya is an island located in the lake Tyrifjorden in Norway.
-
C.
Brønnøya
Brønnøya is a scenic island in the Oslofjord known for its holiday homes, nature trails, and car-free environment, located within the municipality of Asker in Norway.
-
D.
Flakstadøya
Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
-
E.
Oslo archipelago
The Oslo archipelago is a scenic collection of islands and skerries in the Oslofjord, popular for boating, swimming, and outdoor recreation near Norway’s capital.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b35ea48190a758ee76a57b5451 |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f81d640081908917144f31227edd |
completed | May 12, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_6a02f8ca36588190a1d5de8494777d61 |
completed | May 12, 2026, 9:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f9de0ae48190816002a5d32718a1 |
completed | May 12, 2026, 9:58 a.m. |
Created at: April 10, 2026, 4:47 a.m.