Triple

T22159534
Position Surface form Disambiguated ID Type / Status
Subject Pura Blanjong E547630 entity
Predicate isPartOf P10 FINISHED
Object Sanur district 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: Sanur district | Statement: [Pura Blanjong, isPartOf, Sanur district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanur district
Context triple: [Pura Blanjong, isPartOf, Sanur district]
  • A. North Kuta District
    North Kuta District is a rapidly developing suburban and tourist area in southern Bali, Indonesia, known for popular destinations such as Canggu and its surrounding beaches.
  • B. Sanur chosen
    Sanur is a coastal town in southeastern Bali known for its tranquil beaches, laid-back atmosphere, and role as one of the island’s earliest resort destinations.
  • C. South Kuta District
    South Kuta District is a popular coastal area in southern Bali, Indonesia, known for its major tourist destinations such as Nusa Dua, Jimbaran, and Uluwatu.
  • D. Badung Regency
    Badung Regency is an administrative region in southern Bali, Indonesia, known for major tourist destinations such as Kuta, Seminyak, and Nusa Dua.
  • E. Bali District
    Bali District is a coastal suburban district in northern Taiwan known for its historical sites, riverside scenery, and role as part of New Taipei City.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a2c17a4819082fb9e4aaa275462 completed April 28, 2026, 9:44 p.m.
Created at: April 16, 2026, 8:33 p.m.