Triple

T1231587
Position Surface form Disambiguated ID Type / Status
Subject Faroe Islands E26453 entity
Predicate hasIsland P970 FINISHED
Object 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.
 E145132 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: Vágar | Statement: [Faroe Islands, hasIsland, Vágar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vágar
Context triple: [Faroe Islands, hasIsland, Vágar]
  • A. Gardar
    Gardar was the principal ecclesiastical and administrative center of the Norse settlements in medieval Greenland, serving as the seat of the bishopric.
  • B. Ornö
    Ornö is a large island in the Stockholm archipelago of Sweden, known for its forests, bays, and traditional summer cottages.
  • C. Fløya
    Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
  • D. Eivissa
    Eivissa is the Catalan name for Ibiza, a popular Mediterranean island in Spain’s Balearic archipelago known for its beaches and nightlife.
  • E. Barpa Langass
    Barpa Langass is a well-preserved Neolithic chambered cairn on the island of North Uist in Scotland’s Outer Hebrides.
  • 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: Vágar
Triple: [Faroe Islands, hasIsland, Vágar]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vágar
Target entity description: 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.
  • A. Gardar
    Gardar was the principal ecclesiastical and administrative center of the Norse settlements in medieval Greenland, serving as the seat of the bishopric.
  • B. Ornö
    Ornö is a large island in the Stockholm archipelago of Sweden, known for its forests, bays, and traditional summer cottages.
  • C. Fløya
    Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
  • D. Eivissa
    Eivissa is the Catalan name for Ibiza, a popular Mediterranean island in Spain’s Balearic archipelago known for its beaches and nightlife.
  • E. Barpa Langass
    Barpa Langass is a well-preserved Neolithic chambered cairn on the island of North Uist in Scotland’s Outer Hebrides.
  • 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_69ac997c6acc819099b1ae6e9ef47a8e completed March 7, 2026, 9:32 p.m.
NEDg Description generation batch_69ac99ef5e308190858cf45c0707aa74 completed March 7, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69ac9ac980f48190a23da8b222ec7601 completed March 7, 2026, 9:38 p.m.
Created at: March 1, 2026, 7:47 p.m.