Triple
T3701569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porsangerfjorden |
E78589
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Reinøya
Reinøya is an island located within Porsangerfjorden in Troms og Finnmark county in northern Norway.
|
E398902
|
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: Reinøya | Statement: [Porsangerfjorden, hasIsland, Reinøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reinøya Context triple: [Porsangerfjorden, hasIsland, Reinøya]
-
A.
Flakstadøya
Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
-
B.
Øye
Øye is a small Norwegian village in the Sunnmøre region, known for its dramatic fjord landscape and the historic Hotel Union Øye.
-
C.
Bjørnøya
Bjørnøya is a remote, largely uninhabited Norwegian island in the Barents Sea, known for its rugged cliffs, rich birdlife, and role as the southernmost part of the Svalbard archipelago.
-
D.
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.
-
E.
Moskenesøya
Moskenesøya is a rugged island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and scenic coastal landscapes.
- 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: Reinøya Triple: [Porsangerfjorden, hasIsland, Reinøya]
Generated description
Reinøya is an island located within Porsangerfjorden in Troms og Finnmark county in northern Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reinøya Target entity description: Reinøya is an island located within Porsangerfjorden in Troms og Finnmark county in northern Norway.
-
A.
Flakstadøya
Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
-
B.
Øye
Øye is a small Norwegian village in the Sunnmøre region, known for its dramatic fjord landscape and the historic Hotel Union Øye.
-
C.
Bjørnøya
Bjørnøya is a remote, largely uninhabited Norwegian island in the Barents Sea, known for its rugged cliffs, rich birdlife, and role as the southernmost part of the Svalbard archipelago.
-
D.
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.
-
E.
Moskenesøya
Moskenesøya is a rugged island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and scenic coastal landscapes.
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc547c1848190a1ece46c59b7c43d |
completed | March 8, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5282613d0819085a47d1fffdaa4d5 |
completed | March 14, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69b5292b13a08190bf23231285adae38 |
completed | March 14, 2026, 9:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b529600884819098cb208e38e6281a |
completed | March 14, 2026, 9:24 a.m. |
Created at: March 8, 2026, 3:26 p.m.