Triple

T21086521
Position Surface form Disambiguated ID Type / Status
Subject Tambora language E519502 entity
Predicate region P40 FINISHED
Object Sumbawa 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: Sumbawa | Statement: [Tambora language, region, Sumbawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sumbawa
Context triple: [Tambora language, region, Sumbawa]
  • A. Sumbawa chosen
    Sumbawa is an island in central Indonesia, part of the Lesser Sunda Islands, known for its volcanic landscapes, surfing spots, and relatively low population density compared to neighboring Bali and Lombok.
  • B. Sumbawa Besar
    Sumbawa Besar is the main town and administrative center of Sumbawa Island in Indonesia’s West Nusa Tenggara province.
  • 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. Lembata
    Lembata is an island in Indonesia’s Lesser Sunda Islands, known for its traditional whaling communities and volcanic landscapes.
  • E. Wangi-Wangi
    Wangi-Wangi is a coastal town and island in Indonesia known as the administrative center of Wakatobi Regency and a gateway to renowned marine tourism and diving sites.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7094ad1c08190a4b9d2668a6362b2 completed April 21, 2026, 5:21 a.m.
Created at: April 16, 2026, 2:50 p.m.