Triple

T20685039
Position Surface form Disambiguated ID Type / Status
Subject Denpasar Barat E508390 entity
Predicate belongsTo P35 FINISHED
Object Denpasar municipality 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 municipality | Statement: [Denpasar Barat, belongsTo, Denpasar municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denpasar municipality
Context triple: [Denpasar Barat, belongsTo, Denpasar municipality]
  • A. Denpasar chosen
    Denpasar is the largest city and main economic and cultural hub on the Indonesian island of Bali.
  • B. Denpasar City Government
    Denpasar City Government is the municipal authority responsible for administering and managing public services, development, and local regulations in the city of Denpasar, Bali.
  • C. Denpasar Utara
    Denpasar Utara is a northern administrative district of Denpasar, the capital city of Bali, Indonesia.
  • D. Denpasar Timur
    Denpasar Timur is a district in the eastern part 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.