Triple

T23161472
Position Surface form Disambiguated ID Type / Status
Subject Monte Igueldo E578596 entity
Predicate hasViewOf P854 FINISHED
Object Ondarreta Beach NE NERFINISHED

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: Ondarreta Beach | Statement: [Monte Igueldo, hasViewOf, Ondarreta Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ondarreta Beach
Context triple: [Monte Igueldo, hasViewOf, Ondarreta Beach]
  • A. Ondarreta Beach chosen
    Ondarreta Beach is a popular urban sandy beach in San Sebastián, Spain, known for its calm waters, family-friendly atmosphere, and views of Santa Clara Island.
  • B. Zurriola Beach
    Zurriola Beach is a popular urban surf beach in San Sebastián, Spain, known for its strong waves, youthful atmosphere, and vibrant seaside promenade.
  • C. Pacheco Beach
    Pacheco Beach is a coastal beach area in the municipality of Caucaia in northeastern Brazil, known for its scenic shoreline and proximity to Fortaleza.
  • D. Monte Gordo Beach
    Monte Gordo Beach is a popular Algarve seaside destination in southern Portugal, known for its wide sandy shoreline, warm calm waters, and resort-town atmosphere.
  • E. Barra Beach
    Barra Beach is a popular Mozambican coastal destination known for its long sandy shores, warm waters, and opportunities for diving, snorkeling, and marine wildlife viewing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f006930819097aafef87405d737 completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:02 p.m.