Triple
T3593330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hjørundfjord |
E76077
|
entity |
| Predicate | hasVillageOnShore |
P4011
|
FINISHED |
| Object |
Øye
Øye is a small Norwegian village in the Sunnmøre region, known for its dramatic fjord landscape and the historic Hotel Union Øye.
|
E393086
|
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: Øye | Statement: [Hjørundfjord, hasVillageOnShore, Øye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Øye Context triple: [Hjørundfjord, hasVillageOnShore, Øye]
-
A.
Andøya
Andøya is a large Norwegian island in Nordland county, known for its dramatic coastal landscapes, space center, and rich bird and whale-watching opportunities.
-
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.
Finnøy
Finnøy is a small island municipality in Rogaland county, Norway, known as the rural birthplace of mathematician Niels Henrik Abel.
-
D.
Flakstadøya
Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
-
E.
Rennesøy
Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
- 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: Øye Triple: [Hjørundfjord, hasVillageOnShore, Øye]
Generated description
Øye is a small Norwegian village in the Sunnmøre region, known for its dramatic fjord landscape and the historic Hotel Union Øye.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Øye Target entity description: Øye is a small Norwegian village in the Sunnmøre region, known for its dramatic fjord landscape and the historic Hotel Union Øye.
-
A.
Andøya
Andøya is a large Norwegian island in Nordland county, known for its dramatic coastal landscapes, space center, and rich bird and whale-watching opportunities.
-
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.
Finnøy
Finnøy is a small island municipality in Rogaland county, Norway, known as the rural birthplace of mathematician Niels Henrik Abel.
-
D.
Flakstadøya
Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
-
E.
Rennesøy
Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc15bbbcc81908d6cf95f8e70c6ca |
completed | March 8, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503dbed588190abe9ca45b1ff68f8 |
completed | March 14, 2026, 6:44 a.m. |
| NEDg | Description generation | batch_69b507a2a1bc819080843ed3cbb132cb |
completed | March 14, 2026, 7 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5090e87d881908c2e84f4a6402113 |
completed | March 14, 2026, 7:06 a.m. |
Created at: March 8, 2026, 3:22 p.m.