Triple
T5065574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyrifjorden |
E114134
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Røsholmholmen
Røsholmholmen is a small island located in Tyrifjorden, a large lake in southeastern Norway.
|
E489963
|
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: Røsholmholmen | Statement: [Tyrifjorden, hasIsland, Røsholmholmen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Røsholmholmen Context triple: [Tyrifjorden, hasIsland, Røsholmholmen]
-
A.
Gressholmen
Gressholmen is a small recreational island near central Oslo, Norway, known for its beaches, nature reserve areas, and former seaplane airport.
-
B.
Helgeandsholmen
Helgeandsholmen is a small central Stockholm islet best known as the site of the Swedish Parliament building and part of the historic city core.
-
C.
Hirsholmene
Hirsholmene is a small Danish archipelago and protected nature reserve in the Kattegat, known for its rich birdlife and unspoiled coastal landscapes.
-
D.
Kvarnholmen
Kvarnholmen is a former industrial island district in the Stockholm area that has been transformed into a modern residential and waterfront neighborhood.
-
E.
Nakkholmen
Nakkholmen is a small inhabited island known for its traditional wooden cabins and recreational use, located in the Oslofjord 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: Røsholmholmen Triple: [Tyrifjorden, hasIsland, Røsholmholmen]
Generated description
Røsholmholmen is a small island located in Tyrifjorden, a large lake in southeastern Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Røsholmholmen Target entity description: Røsholmholmen is a small island located in Tyrifjorden, a large lake in southeastern Norway.
-
A.
Gressholmen
Gressholmen is a small recreational island near central Oslo, Norway, known for its beaches, nature reserve areas, and former seaplane airport.
-
B.
Helgeandsholmen
Helgeandsholmen is a small central Stockholm islet best known as the site of the Swedish Parliament building and part of the historic city core.
-
C.
Hirsholmene
Hirsholmene is a small Danish archipelago and protected nature reserve in the Kattegat, known for its rich birdlife and unspoiled coastal landscapes.
-
D.
Kvarnholmen
Kvarnholmen is a former industrial island district in the Stockholm area that has been transformed into a modern residential and waterfront neighborhood.
-
E.
Nakkholmen
Nakkholmen is a small inhabited island known for its traditional wooden cabins and recreational use, located in the Oslofjord 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7478f7988190bc0473e8af055147 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea49d917081909ead17eed3f8af90 |
completed | March 21, 2026, 2:01 p.m. |
| NEDg | Description generation | batch_69bea525d9088190b0b655687dd27630 |
completed | March 21, 2026, 2:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea594850881909cd683670b63a079 |
completed | March 21, 2026, 2:05 p.m. |
Created at: March 20, 2026, 1:38 p.m.