Triple

T21179447
Position Surface form Disambiguated ID Type / Status
Subject Kuta District E521905 entity
Predicate hasAttraction P105 FINISHED
Object Seminyak 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: Seminyak Beach | Statement: [Kuta District, hasAttraction, Seminyak Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seminyak Beach
Context triple: [Kuta District, hasAttraction, Seminyak Beach]
  • A. Seminyak chosen
    Seminyak is an upscale beach resort area on Bali known for its luxury hotels, trendy restaurants, boutiques, and vibrant nightlife.
  • B. Kuhio Beach
    Kuhio Beach is a popular stretch of sandy shoreline and swimming area in Waikiki, Honolulu, known for its calm waters, seawall, and views of Diamond Head.
  • C. Nusa Dua Beach
    Nusa Dua Beach is a popular white-sand coastal destination in southern Bali, Indonesia, known for its calm waters, luxury resorts, and well-maintained beachfront.
  • D. Kania Beach
    Kania Beach is a small, tranquil seaside spot on the Greek island of Chalki, known for its clear waters and relaxed atmosphere.
  • E. Kaanapali Beach
    Kaanapali Beach is a famous resort-lined stretch of white sand and clear water on Maui’s western shore, known for swimming, snorkeling, and sunset views.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301c842c8190b969a8b3f194003a completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:01 p.m.