Triple

T6728246
Position Surface form Disambiguated ID Type / Status
Subject Bima language E153570 entity
Predicate spokenInRegion P7445 FINISHED
Object Dompu Regency E492738 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: Dompu Regency | Statement: [Bima language, spokenInRegion, Dompu Regency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dompu Regency
Context triple: [Bima language, spokenInRegion, Dompu Regency]
  • A. Dompu chosen
    Dompu is a town and regency capital on the island of Sumbawa in Indonesia’s West Nusa Tenggara province.
  • B. Kolaka Regency
    Kolaka Regency is an administrative region in Southeast Sulawesi, Indonesia, known for its coastal location, mineral resources, and role as a regional economic hub.
  • C. Belu Regency
    Belu Regency is an administrative region in East Nusa Tenggara, Indonesia, located on the western part of Timor Island and bordering Timor-Leste.
  • D. Sinjai Regency
    Sinjai Regency is an administrative region in Indonesia known for its coastal landscapes, agricultural activities, and cultural diversity within the province of South Sulawesi.
  • E. Wajo Regency
    Wajo Regency is an administrative region in South Sulawesi, Indonesia, historically significant as one of the core areas of Bugis culture and political power.
  • 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_69c6880afb988190ad88011b48ecfcba completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d153ef9c8190a31021227d814d82 completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7129cb39c8190beb02f0d7ea19d8a completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:08 p.m.