Triple

T21912289
Position Surface form Disambiguated ID Type / Status
Subject Sukawati art market E541094 entity
Predicate locatedIn P40 FINISHED
Object Sukawati 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: Sukawati | Statement: [Sukawati art market, locatedIn, Sukawati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sukawati
Context triple: [Sukawati art market, locatedIn, Sukawati]
  • A. Sukawati chosen
    Sukawati is a district in Bali, Indonesia, known for its traditional art market, handicrafts, and cultural attractions within Gianyar Regency.
  • B. Sukaraja
    Sukaraja is a district in Bogor Regency, West Java, Indonesia, known as a suburban area supporting the greater Bogor and Jakarta regions.
  • C. Sukajadi
    Sukajadi is a coastal settlement located on Rupat Island in Riau Province, Indonesia.
  • D. Ciawi
    Ciawi is a district in West Java, Indonesia, known as a gateway area near Bogor that connects major routes toward Puncak and other highland tourist destinations.
  • E. Kusno
    Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
  • 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_69e0c47c4b9c8190a5586a75f5f36453 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121db1dc48190af5dc634431d863a completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:41 p.m.