Triple
T15360449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haram |
E367274
|
entity |
| Predicate | containsIsland |
P970
|
FINISHED |
| Object |
Flemsøya
Flemsøya is an island in Møre og Romsdal county, Norway, known for its rugged coastal landscape and location in the traditional district of Sunnmøre.
|
E1315618
|
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: Flemsøya | Statement: [Haram, containsIsland, Flemsøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flemsøya Context triple: [Haram, containsIsland, Flemsøya]
-
A.
Moskenesøya
Moskenesøya is a rugged island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and scenic coastal landscapes.
-
B.
Finnøy
Finnøy is a small island municipality in Rogaland county, Norway, known as the rural birthplace of mathematician Niels Henrik Abel.
-
C.
Sundøya
Sundøya is an island located in Tyrifjorden, a large lake in southeastern Norway.
-
D.
Ytterøya
Ytterøya is an island in Trøndelag county, central Norway, known for its rural landscape and location within the Trondheimsfjord.
-
E.
Sørøya
Sørøya is a large, sparsely populated island in northern Norway known for its rugged coastal landscapes, rich fishing grounds, and opportunities for outdoor activities such as hiking and sea angling.
- 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: Flemsøya Triple: [Haram, containsIsland, Flemsøya]
Generated description
Flemsøya is an island in Møre og Romsdal county, Norway, known for its rugged coastal landscape and location in the traditional district of Sunnmøre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flemsøya Target entity description: Flemsøya is an island in Møre og Romsdal county, Norway, known for its rugged coastal landscape and location in the traditional district of Sunnmøre.
-
A.
Moskenesøya
Moskenesøya is a rugged island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and scenic coastal landscapes.
-
B.
Finnøy
Finnøy is a small island municipality in Rogaland county, Norway, known as the rural birthplace of mathematician Niels Henrik Abel.
-
C.
Sundøya
Sundøya is an island located in Tyrifjorden, a large lake in southeastern Norway.
-
D.
Ytterøya
Ytterøya is an island in Trøndelag county, central Norway, known for its rural landscape and location within the Trondheimsfjord.
-
E.
Sørøya
Sørøya is a large, sparsely populated island in northern Norway known for its rugged coastal landscapes, rich fishing grounds, and opportunities for outdoor activities such as hiking and sea angling.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4607408190ab281a7f7a8012d3 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03b3daaa6c819093420d0a4dc97a5a |
completed | May 12, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_6a03b5109b108190a3dea7e6f44a060f |
completed | May 12, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03b65c8d5c819080b8b6b95aea8a35 |
completed | May 12, 2026, 11:23 p.m. |
Created at: April 10, 2026, 3:18 a.m.