Triple

T7866330
Position Surface form Disambiguated ID Type / Status
Subject Corralejo E182624 entity
Predicate locatedIn P40 FINISHED
Object Fuerteventura E34090 NE FINISHED

How this triple was built (2 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: Fuerteventura | Statement: [Corralejo, locatedIn, Fuerteventura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fuerteventura
Context triple: [Corralejo, locatedIn, Fuerteventura]
  • A. Fuerteventura chosen
    Fuerteventura is a major Canary Island known for its extensive sandy beaches, strong winds ideal for water sports, and arid volcanic landscapes.
  • B. Gran Canaria
    Gran Canaria is a major Spanish island in the Atlantic Ocean known for its diverse landscapes, popular beach resorts, and status as a key tourist destination in the Canary Islands.
  • C. Lanzarote
    Lanzarote is a Spanish volcanic island in the Atlantic Ocean known for its dramatic lava landscapes, year-round mild climate, and status as a popular tourist destination.
  • D. Tenerife
    Tenerife is the largest and most populous of Spain’s Canary Islands, renowned for its volcanic landscapes, beaches, and the towering Mount Teide.
  • E. La Gomera
    La Gomera is a small, rugged volcanic island in Spain’s Canary Islands, known for its dramatic ravines, laurel forests, and traditional whistled language, Silbo Gomero.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3844eacc81908f8e1e5fc4dafec8 completed March 31, 2026, 2:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d190aa70f0819088998b0e895ea36a completed April 4, 2026, 10:28 p.m.
Created at: March 30, 2026, 4:54 p.m.