Triple

T6209439
Position Surface form Disambiguated ID Type / Status
Subject Mount Tambora National Park E138827 entity
Predicate hasAccessTown P22318 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: [Mount Tambora National Park, hasAccessTown, Dompu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dompu
Context triple: [Mount Tambora National Park, hasAccessTown, 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. Buton Regency
    Buton Regency is an administrative region in Southeast Sulawesi, Indonesia, known as one of the traditional heartlands of the Wolio-speaking Butonese people.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0628850bc819080a26c5e05a1d29f completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f52829c81909bdd422cbb1eabf4 completed March 23, 2026, 4:50 p.m.
Created at: March 22, 2026, 4:21 p.m.