Triple

T7066046
Position Surface form Disambiguated ID Type / Status
Subject Fuerteventura Airport E164353 entity
Predicate serves P98 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: [Fuerteventura Airport, serves, Fuerteventura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fuerteventura
Context triple: [Fuerteventura Airport, serves, 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4a4e7188190aef123ff1a2aa473 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c90092f9ac8190a53d65cfdeafca29 completed March 29, 2026, 10:36 a.m.
Created at: March 27, 2026, 2:39 p.m.