Triple

T20685268
Position Surface form Disambiguated ID Type / Status
Subject Puputan Badung Square E508395 entity
Predicate near P350 FINISHED
Object Denpasar city center 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: Denpasar city center | Statement: [Puputan Badung Square, near, Denpasar city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denpasar city center
Context triple: [Puputan Badung Square, near, Denpasar city center]
  • A. Denpasar chosen
    Denpasar is the largest city and main economic and cultural hub on the Indonesian island of Bali.
  • B. Denpasar Timur
    Denpasar Timur is a district in the eastern part of Denpasar, the capital city of Bali, Indonesia.
  • C. 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.
  • D. Denpasar Utara
    Denpasar Utara is a northern administrative district of Denpasar, the capital city of Bali, Indonesia.
  • E. Denpasar Selatan
    Denpasar Selatan is a subdistrict in the southern part of Denpasar, Bali, known for its urban residential areas and proximity to major tourist destinations.
  • 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.