Triple

T20685543
Position Surface form Disambiguated ID Type / Status
Subject Petitenget E508405 entity
Predicate locatedIn P40 FINISHED
Object Seminyak area 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 area | Statement: [Petitenget, locatedIn, Seminyak area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seminyak area
Context triple: [Petitenget, locatedIn, Seminyak area]
  • A. Seminyak chosen
    Seminyak is an upscale beach resort area on Bali known for its luxury hotels, trendy restaurants, boutiques, and vibrant nightlife.
  • B. Legian
    Legian is a popular beach resort area on Bali’s southwest coast, known for its surfing-friendly waves, lively nightlife, and proximity to Kuta and Seminyak.
  • C. Waikoloa Village area
    The Waikoloa Village area is a resort and residential community on the west side of Hawaii’s Big Island, known for its golf courses, vacation accommodations, and proximity to coastal attractions.
  • D. Canggu
    Canggu is a trendy coastal village in Bali known for its surf-friendly beaches, laid-back atmosphere, and vibrant café and nightlife scene.
  • E. Waikiki
    Waikiki is a famous beachfront neighborhood in Honolulu renowned for its white-sand beaches, surf culture, and major tourist resorts.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6beabf72881909771b6c6a81276d6 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:45 a.m.