Triple

T22242589
Position Surface form Disambiguated ID Type / Status
Subject Goa Gajah E549758 entity
Predicate hasNearbyCity P350 FINISHED
Object Denpasar 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 | Statement: [Goa Gajah, hasNearbyCity, Denpasar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denpasar
Context triple: [Goa Gajah, hasNearbyCity, Denpasar]
  • A. Denpasar chosen
    Denpasar is the largest city and main economic and cultural hub on the Indonesian island of Bali.
  • B. Denpasar Regency
    Denpasar Regency is an administrative region on the island of Bali, Indonesia, encompassing the provincial capital and serving as a major center of government, culture, and tourism.
  • C. Mataram
    Mataram was the principal urban and political center of the early Javanese Medang Kingdom, serving as a key hub of power and culture in central Java.
  • D. Mataram
    Mataram is the capital and largest city of the Indonesian province of West Nusa Tenggara, located on the island of Lombok.
  • E. Denpasar Utara
    Denpasar Utara is a northern administrative district of Denpasar, the capital city of Bali, Indonesia.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f132150a3c81908eba0683819e26d0 completed April 28, 2026, 10:17 p.m.
Created at: April 16, 2026, 8:38 p.m.