Triple
T7508073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolærne islands |
E177443
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Østre Bolæren
Østre Bolæren is an island in the Bolærne archipelago in the Oslofjord, known for its coastal scenery, outdoor recreation, and former military installations.
|
E670528
|
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: Østre Bolæren | Statement: [Bolærne islands, hasPart, Østre Bolæren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Østre Bolæren Context triple: [Bolærne islands, hasPart, Østre Bolæren]
-
A.
Vestre Bolæren
Vestre Bolæren is one of the Bolærne islands in the Oslofjord, known for its coastal scenery, outdoor recreation opportunities, and remnants of former military installations.
-
B.
Birkelunden
Birkelunden is a popular public park in Oslo’s Grünerløkka district, known for its green spaces, cultural events, and historic surroundings.
-
C.
Bragernes
Bragernes is a historic former town and district that now forms the northern part of the city of Drammen in Norway.
-
D.
Ulriksdal
Ulriksdal is a district in Solna, Sweden, known for the historic Ulriksdal Palace and its surrounding parklands along the Edsviken inlet.
-
E.
Møllehøj
Møllehøj is the highest natural point in Denmark, located in the hilly region of eastern Jutland.
- 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: Østre Bolæren Triple: [Bolærne islands, hasPart, Østre Bolæren]
Generated description
Østre Bolæren is an island in the Bolærne archipelago in the Oslofjord, known for its coastal scenery, outdoor recreation, and former military installations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Østre Bolæren Target entity description: Østre Bolæren is an island in the Bolærne archipelago in the Oslofjord, known for its coastal scenery, outdoor recreation, and former military installations.
-
A.
Vestre Bolæren
Vestre Bolæren is one of the Bolærne islands in the Oslofjord, known for its coastal scenery, outdoor recreation opportunities, and remnants of former military installations.
-
B.
Birkelunden
Birkelunden is a popular public park in Oslo’s Grünerløkka district, known for its green spaces, cultural events, and historic surroundings.
-
C.
Bragernes
Bragernes is a historic former town and district that now forms the northern part of the city of Drammen in Norway.
-
D.
Ulriksdal
Ulriksdal is a district in Solna, Sweden, known for the historic Ulriksdal Palace and its surrounding parklands along the Edsviken inlet.
-
E.
Møllehøj
Møllehøj is the highest natural point in Denmark, located in the hilly region of eastern Jutland.
- 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5b8ab5c8190828ee8d144068828 |
completed | March 27, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8460be99881909cada82cf7563421 |
completed | March 28, 2026, 9:20 p.m. |
| NEDg | Description generation | batch_69c84765ee64819082d3189c8a768455 |
completed | March 28, 2026, 9:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c84828b2c48190a70f3bcd9e7554cc |
completed | March 28, 2026, 9:29 p.m. |
Created at: March 27, 2026, 3:45 p.m.