Triple
T1560999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslofjord |
E33322
|
entity |
| Predicate | hasMajorIsland |
P756
|
FINISHED |
| Object |
Ormøya
Ormøya is a small, scenic island and residential area in the inner Oslofjord, just southeast of central Oslo, Norway.
|
E190848
|
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: Ormøya | Statement: [Oslofjord, hasMajorIsland, Ormøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ormøya Context triple: [Oslofjord, hasMajorIsland, Ormøya]
-
A.
Karmøy
Karmøy is a large island and municipality in Rogaland county, Norway, known for its coastal fishing communities, maritime heritage, and historic Viking sites.
-
B.
Edgeøya
Edgeøya is one of the large, remote islands in the Svalbard archipelago of Arctic Norway, known for its rugged tundra landscape and rich polar wildlife.
-
C.
Averøya
Averøya is a scenic Norwegian island known for its coastal landscapes and its location along the famous Atlantic Ocean Road in Western Norway.
-
D.
Inderøy
Inderøy is a rural municipality in central Norway known for its cultural heritage, agricultural landscape, and scenic location along the Trondheimsfjord.
-
E.
Malmøya
Malmøya is a notable island in the Oslofjord known for its natural landscapes and recreational areas near Oslo, Norway.
- 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: Ormøya Triple: [Oslofjord, hasMajorIsland, Ormøya]
Generated description
Ormøya is a small, scenic island and residential area in the inner Oslofjord, just southeast of central Oslo, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ormøya Target entity description: Ormøya is a small, scenic island and residential area in the inner Oslofjord, just southeast of central Oslo, Norway.
-
A.
Karmøy
Karmøy is a large island and municipality in Rogaland county, Norway, known for its coastal fishing communities, maritime heritage, and historic Viking sites.
-
B.
Edgeøya
Edgeøya is one of the large, remote islands in the Svalbard archipelago of Arctic Norway, known for its rugged tundra landscape and rich polar wildlife.
-
C.
Averøya
Averøya is a scenic Norwegian island known for its coastal landscapes and its location along the famous Atlantic Ocean Road in Western Norway.
-
D.
Inderøy
Inderøy is a rural municipality in central Norway known for its cultural heritage, agricultural landscape, and scenic location along the Trondheimsfjord.
-
E.
Malmøya
Malmøya is a notable island in the Oslofjord known for its natural landscapes and recreational areas near Oslo, Norway.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9088710a881909a1226e4b54311b8 |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad797907ac81908ede43626798827d |
completed | March 8, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ad7a1223fc8190b7d62217c17f7517 |
completed | March 8, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad7b0787c88190a59a815fa808ac6b |
completed | March 8, 2026, 1:35 p.m. |
Created at: March 4, 2026, 7:27 p.m.