Triple

T19441294
Position Surface form Disambiguated ID Type / Status
Subject City of Malibu E486355 entity
Predicate hasBeach P1922 FINISHED
Object Zuma 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: Zuma Beach | Statement: [City of Malibu, hasBeach, Zuma Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zuma Beach
Context triple: [City of Malibu, hasBeach, Zuma Beach]
  • A. Zuma Beach chosen
    Zuma Beach is a wide, sandy public beach in Malibu, California, known for its surf-friendly waves, long shoreline, and popularity with both locals and tourists.
  • B. Zicatela Beach
    Zicatela Beach is a famous surf beach in Puerto Escondido, Oaxaca, Mexico, renowned worldwide for its powerful, barreling waves often compared to Hawaii’s Pipeline.
  • C. Chiona Beach
    Chiona Beach is a quiet, sandy seaside spot on the eastern coast of Crete, Greece, known for its clear shallow waters and relaxed, unspoiled atmosphere.
  • D. Tabuba Beach
    Tabuba Beach is a popular coastal destination in Caucaia, Brazil, known for its scenic shoreline, calm waters, and relaxed atmosphere.
  • E. Juhu Beach
    Juhu Beach is a popular and expansive seaside destination in Mumbai, India, known for its lively atmosphere, street food stalls, and views of the Arabian Sea.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63365343081908683c29f6c4c194b completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:38 p.m.