Triple

T1231598
Position Surface form Disambiguated ID Type / Status
Subject Faroe Islands E26453 entity
Predicate hasIsland P970 FINISHED
Object Fugloy
Fugloy is a small, remote island in the northeastern Faroe Islands, known for its dramatic cliffs, rich birdlife, and traditional village life.
 E159610 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: Fugloy | Statement: [Faroe Islands, hasIsland, Fugloy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fugloy
Context triple: [Faroe Islands, hasIsland, Fugloy]
  • A. Fløya
    Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
  • B. 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.
  • C. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • D. Bergshamra
    Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
  • E. Vágar
    Vágar is one of the main islands of the Faroe Islands, known for hosting the archipelago’s only airport and serving as a key transport hub.
  • 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: Fugloy
Triple: [Faroe Islands, hasIsland, Fugloy]
Generated description
Fugloy is a small, remote island in the northeastern Faroe Islands, known for its dramatic cliffs, rich birdlife, and traditional village life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fugloy
Target entity description: Fugloy is a small, remote island in the northeastern Faroe Islands, known for its dramatic cliffs, rich birdlife, and traditional village life.
  • A. Fløya
    Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
  • B. 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.
  • C. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • D. Bergshamra
    Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
  • E. Vágar
    Vágar is one of the main islands of the Faroe Islands, known for hosting the archipelago’s only airport and serving as a key transport hub.
  • 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_69acde099eb88190ac354f3b4efb0965 completed March 8, 2026, 2:25 a.m.
NEDg Description generation batch_69acde7990b4819082a1bcb50215d4f1 completed March 8, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_69acdee2d71481908a735d5685693ca8 completed March 8, 2026, 2:28 a.m.
Created at: March 1, 2026, 7:47 p.m.