Triple

T6209440
Position Surface form Disambiguated ID Type / Status
Subject Mount Tambora National Park E138827 entity
Predicate hasAccessTown P22318 FINISHED
Object Bima E489716 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: Bima | Statement: [Mount Tambora National Park, hasAccessTown, Bima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bima
Context triple: [Mount Tambora National Park, hasAccessTown, Bima]
  • A. Bima chosen
    Bima is a coastal city on the eastern part of Sumbawa Island in Indonesia, known as a regional hub for trade and culture in West Nusa Tenggara.
  • B. Dipatiukur
    Dipatiukur is a central urban area in Bandung, Indonesia, known for hosting one of Universitas Padjadjaran’s main campuses and its surrounding student-oriented neighborhood.
  • C. Blitar
    Blitar is a city in East Java, Indonesia, best known as the hometown and final resting place of the country’s first president, Sukarno.
  • D. Sukawati
    Sukawati is a district in Bali, Indonesia, known for its traditional art market, handicrafts, and cultural attractions within Gianyar Regency.
  • E. Tunggul Ametung
    Tunggul Ametung was a regional ruler in early 13th-century Java, best known from Javanese chronicles as the leader of Tumapel whose assassination enabled Ken Arok to rise to power and found the Singhasari kingdom.
  • 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_69c518ff27848190817ad516cf62c619 completed March 26, 2026, 11:31 a.m.
Created at: March 22, 2026, 4:21 p.m.