Triple

T7410040
Position Surface form Disambiguated ID Type / Status
Subject Tenerife South Airport E170976 entity
Predicate serves P98 FINISHED
Object Tenerife E32105 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: Tenerife | Statement: [Tenerife South Airport, serves, Tenerife]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tenerife
Context triple: [Tenerife South Airport, serves, Tenerife]
  • A. Tenerife chosen
    Tenerife is the largest and most populous of Spain’s Canary Islands, renowned for its volcanic landscapes, beaches, and the towering Mount Teide.
  • 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. Fuerteventura
    Fuerteventura is a major Canary Island known for its extensive sandy beaches, strong winds ideal for water sports, and arid volcanic landscapes.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f29d77848190a6170eb25483224f completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c96bf63cfc8190a89a674e0e666134 completed March 29, 2026, 6:14 p.m.
Created at: March 27, 2026, 3:10 p.m.