Triple

T7591563
Position Surface form Disambiguated ID Type / Status
Subject South Funen Archipelago E179746 entity
Predicate containsIsland P970 FINISHED
Object Bjørnø
Bjørnø is a small Danish island known for its tranquil rural landscape and coastal scenery in the South Funen region.
 E684081 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: Bjørnø | Statement: [South Funen Archipelago, containsIsland, Bjørnø]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bjørnø
Context triple: [South Funen Archipelago, containsIsland, Bjørnø]
  • A. 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.
  • B. Bømlo
    Bømlo is a large island and municipality in Vestland county, Norway, known for its rugged coastline, fishing communities, and extensive network of tunnels and bridges connecting it to the mainland.
  • C. Lindøya
    Lindøya is a small, scenic island in the Oslofjord known for its colorful wooden cottages, car-free environment, and popularity as a summer retreat near Oslo.
  • D. Storøya
    Storøya is an island located in the lake Tyrifjorden in Norway.
  • E. Borkenes
    Borkenes is a small coastal village in northern Norway known for its scenic surroundings and traditional fishing and farming activities.
  • 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: Bjørnø
Triple: [South Funen Archipelago, containsIsland, Bjørnø]
Generated description
Bjørnø is a small Danish island known for its tranquil rural landscape and coastal scenery in the South Funen region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bjørnø
Target entity description: Bjørnø is a small Danish island known for its tranquil rural landscape and coastal scenery in the South Funen region.
  • A. 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.
  • B. Bømlo
    Bømlo is a large island and municipality in Vestland county, Norway, known for its rugged coastline, fishing communities, and extensive network of tunnels and bridges connecting it to the mainland.
  • C. Lindøya
    Lindøya is a small, scenic island in the Oslofjord known for its colorful wooden cottages, car-free environment, and popularity as a summer retreat near Oslo.
  • D. Storøya
    Storøya is an island located in the lake Tyrifjorden in Norway.
  • E. Borkenes
    Borkenes is a small coastal village in northern Norway known for its scenic surroundings and traditional fishing and farming activities.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9b746ac8190b255afdfb9635f72 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4ed90808190852ca09c06a3dc3d completed March 29, 2026, 5:13 a.m.
NEDg Description generation batch_69c8b611f31881908352b8c3339b7ae7 completed March 29, 2026, 5:18 a.m.
NED2 Entity disambiguation (via description) batch_69c8b6671a7c8190a1e0cba3fa3f2fb1 completed March 29, 2026, 5:19 a.m.
Created at: March 27, 2026, 3:53 p.m.