Triple

T23049788
Position Surface form Disambiguated ID Type / Status
Subject Tembuku District E573975 entity
Predicate partOf P40 FINISHED
Object Bangli Regency 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: Bangli Regency | Statement: [Tembuku District, partOf, Bangli Regency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangli Regency
Context triple: [Tembuku District, partOf, Bangli Regency]
  • A. Bangli Regency chosen
    Bangli Regency is an inland administrative region on the Indonesian island of Bali, known for its mountainous landscapes, traditional villages, and cultural heritage sites.
  • B. Tabanan Regency
    Tabanan Regency is an agricultural and coastal region in western Bali, Indonesia, known for its lush rice terraces and the iconic Tanah Lot sea temple.
  • C. Pati Regency
    Pati Regency is an administrative region in northeastern Central Java, Indonesia, known for its agricultural production and traditional Javanese culture.
  • D. Blitar Regency
    Blitar Regency is an administrative region in East Java, Indonesia, known for its agricultural landscape, historical sites, and proximity to Mount Kelud.
  • E. Karanganyar Regency
    Karanganyar Regency is an administrative region in Central Java, Indonesia, known for its agricultural landscape, historical sites, and proximity to Mount Lawu.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867b800881909fabf9dca994c9e7 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:54 p.m.