Triple

T5283448
Position Surface form Disambiguated ID Type / Status
Subject Denpasar E119553 entity
Predicate administrativeDivision P747 FINISHED
Object Denpasar City E119553 NE FINISHED

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 | Statement: [Denpasar, administrativeDivision, Denpasar City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denpasar City
Context triple: [Denpasar, administrativeDivision, Denpasar City]
  • A. Denpasar chosen
    Denpasar is the largest city and main economic and cultural hub on the Indonesian island of Bali.
  • B. 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.
  • C. Mataram
    Mataram is the capital and largest city of the Indonesian province of West Nusa Tenggara, located on the island of Lombok.
  • D. Udayana
    Udayana was a prominent 10th–11th century Indian Nyāya philosopher known for his sophisticated arguments for the existence of God and his influential works systematizing classical logic.
  • E. Labuan Bajo
    Labuan Bajo is a coastal town on the Indonesian island of Flores that serves as the main gateway for tourists visiting Komodo National Park and its famous Komodo dragons.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84c8d2bc8190840699e5a526b756 completed March 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06e6200881908da623e8548ec051 completed March 21, 2026, 9 p.m.
Created at: March 20, 2026, 1:52 p.m.