Triple

T7410054
Position Surface form Disambiguated ID Type / Status
Subject Tenerife South Airport E170976 entity
Predicate locatedNear P294 FINISHED
Object Granadilla de Abona E170978 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: Granadilla de Abona | Statement: [Tenerife South Airport, locatedNear, Granadilla de Abona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Granadilla de Abona
Context triple: [Tenerife South Airport, locatedNear, Granadilla de Abona]
  • A. Granadilla de Abona chosen
    Granadilla de Abona is a municipality on the southeastern coast of Tenerife in Spain’s Canary Islands, known for its coastal resorts, volcanic landscapes, and proximity to Tenerife South Airport.
  • B. Granadina
    Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
  • C. Naranjal
    Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
  • D. Figueira Seca
    Figueira Seca is a small village located on the island of Maio in Cape Verde.
  • E. Samborondón
    Samborondón is a rapidly growing, affluent canton and town in coastal Ecuador, located across the river from Guayaquil and known for its upscale residential and commercial developments.
  • 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_69c811244df081909b63e085d2272cd2 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:10 p.m.