Triple

T5941718
Position Surface form Disambiguated ID Type / Status
Subject Kuta E132180 entity
Predicate partOf P40 FINISHED
Object Kuta District E521905 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: Kuta District | Statement: [Kuta, partOf, Kuta District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuta District
Context triple: [Kuta, partOf, Kuta District]
  • A. Kuta District chosen
    Kuta District is a popular coastal area in southern Bali, Indonesia, known for its busy tourist beaches, nightlife, and surf culture.
  • B. Kasa District
    Kasa District was a former rural administrative district located in Kyoto Prefecture, Japan, known for its small towns and villages before being dissolved through municipal mergers.
  • C. Kaifu District
    Kaifu District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
  • D. Kuse District
    Kuse District is a rural administrative district located in Kyoto Prefecture, Japan, known for its small towns and agricultural landscapes.
  • E. Gusu District
    Gusu District is the central urban district of Suzhou, China, known for its historic canals, classical gardens, and well-preserved ancient cityscape.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039346a7c81908d94081b666e1d79 completed March 22, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c079dfe4819097598ec1f564e810 completed March 23, 2026, 4:24 a.m.
Created at: March 22, 2026, 4:01 p.m.