Triple

T7973561
Position Surface form Disambiguated ID Type / Status
Subject Bima people E185385 entity
Predicate mainSettlement P13187 FINISHED
Object Dompu 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 | Statement: [Bima people, mainSettlement, Dompu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dompu
Context triple: [Bima people, mainSettlement, Dompu]
  • A. Dompu chosen
    Dompu is a town and regency capital on the island of Sumbawa in Indonesia’s West Nusa Tenggara province.
  • B. 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.
  • C. Sumbawa Regency
    Sumbawa Regency is an administrative region on the island of Sumbawa in West Nusa Tenggara, Indonesia, known for its rural landscapes, agriculture, and coastal areas.
  • 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. Sumba Regency
    Sumba Regency is an administrative region on the island of Sumba in East Nusa Tenggara, Indonesia, known for its rugged landscapes, traditional villages, and protected natural areas.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf319648190a900b133d58bd02b completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0bb089881909d3ec17a3330ce25 completed March 31, 2026, 2:56 p.m.
Created at: March 30, 2026, 5:13 p.m.