Triple

T1231593
Position Surface form Disambiguated ID Type / Status
Subject Faroe Islands E26453 entity
Predicate hasIsland P970 FINISHED
Object Kalsoy
Kalsoy is a narrow, mountainous island in the Faroe Islands known for its dramatic cliffs, scenic hiking trails, and the Kallur Lighthouse overlooking the North Atlantic.
 E156280 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: Kalsoy | Statement: [Faroe Islands, hasIsland, Kalsoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kalsoy
Context triple: [Faroe Islands, hasIsland, Kalsoy]
  • A. Totland
    Totland is a coastal village and civil parish on the western side of the Isle of Wight in England, known for its bay, beach, and scenic views across the Solent.
  • B. Graemsay
    Graemsay is a small inhabited island in the Orkney archipelago of Scotland, known for its lighthouses and rural landscape.
  • C. Ellesmere
    Ellesmere is a small market town in Shropshire, England, known for its nearby glacial meres and scenic rural surroundings.
  • D. Hvalsey
    Hvalsey is the best-preserved Norse ruin site in Greenland, known for its stone church and remnants of a medieval farming settlement.
  • E. Sanday
    Sanday is one of the Orkney Islands of Scotland, known for its long sandy beaches, low-lying fertile farmland, and important archaeological sites.
  • 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: Kalsoy
Triple: [Faroe Islands, hasIsland, Kalsoy]
Generated description
Kalsoy is a narrow, mountainous island in the Faroe Islands known for its dramatic cliffs, scenic hiking trails, and the Kallur Lighthouse overlooking the North Atlantic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kalsoy
Target entity description: Kalsoy is a narrow, mountainous island in the Faroe Islands known for its dramatic cliffs, scenic hiking trails, and the Kallur Lighthouse overlooking the North Atlantic.
  • A. Totland
    Totland is a coastal village and civil parish on the western side of the Isle of Wight in England, known for its bay, beach, and scenic views across the Solent.
  • B. Graemsay
    Graemsay is a small inhabited island in the Orkney archipelago of Scotland, known for its lighthouses and rural landscape.
  • C. Ellesmere
    Ellesmere is a small market town in Shropshire, England, known for its nearby glacial meres and scenic rural surroundings.
  • D. Hvalsey
    Hvalsey is the best-preserved Norse ruin site in Greenland, known for its stone church and remnants of a medieval farming settlement.
  • E. Sanday
    Sanday is one of the Orkney Islands of Scotland, known for its long sandy beaches, low-lying fertile farmland, and important archaeological sites.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5a25348190a0665b6324c4d8f5 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce5bdd248190a66551c814dcfac4 completed March 8, 2026, 1:18 a.m.
NEDg Description generation batch_69acceda83f08190b191c0c1432108b0 completed March 8, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69accfc65c008190affa13bee507bf6e completed March 8, 2026, 1:24 a.m.
Created at: March 1, 2026, 7:47 p.m.