Triple

T8081331
Position Surface form Disambiguated ID Type / Status
Subject Playa de las Conchas E188621 entity
Predicate hasViewOf P854 FINISHED
Object Alegranza E206610 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: Alegranza | Statement: [Playa de las Conchas, hasViewOf, Alegranza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alegranza
Context triple: [Playa de las Conchas, hasViewOf, Alegranza]
  • A. Alegranza chosen
    Alegranza is a small, uninhabited volcanic island in the Canary Islands, known for its protected natural environment and important seabird colonies.
  • B. Negrete
    Negrete is a small town and commune in Chile’s Biobío Region, known for its rural character and location near the Biobío River.
  • C. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • D. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • E. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a699388190a5b8e26524ae43e5 completed March 31, 2026, 3:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63fba1148190b8d0f04faa5330a1 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:28 p.m.