Triple

T14522847
Position Surface form Disambiguated ID Type / Status
Subject Portland Parish, Jamaica E340694 entity
Predicate hasBeach P1922 FINISHED
Object San San Beach E334834 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: San San Beach | Statement: [Portland Parish, Jamaica, hasBeach, San San Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San San Beach
Context triple: [Portland Parish, Jamaica, hasBeach, San San Beach]
  • A. San San Beach chosen
    San San Beach is a picturesque white-sand beach and popular swimming spot on Jamaica’s northeastern coast, known for its calm turquoise waters and nearby islets.
  • B. Kota Beach
    Kota Beach is a popular white-sand beach on Bantayan Island in the Philippines, known for its clear turquoise waters and relaxed island atmosphere.
  • C. Mandalay Beach
    Mandalay Beach is a large, resort-style pool complex at Mandalay Bay in Las Vegas, featuring a wave pool, lazy river, and sandy beach environment.
  • D. Miramar Beach
    Miramar Beach is a popular Gulf Coast community in Florida known for its white-sand beaches, emerald-green waters, and resort-style vacation atmosphere.
  • E. Miramar Beach
    Miramar Beach is a popular urban beach in Panaji, Goa, known for its scenic Arabian Sea views and proximity to the city center.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea04f16f88190ba357b0f8021b46b completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b3da8f08190b70b08532dfc22ba completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:22 a.m.