Triple

T1063423
Position Surface form Disambiguated ID Type / Status
Subject Mount Tambora E22956 entity
Predicate locatedOn P40 FINISHED
Object Sumbawa E113977 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: Sumbawa | Statement: [Mount Tambora, locatedOn, Sumbawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sumbawa
Context triple: [Mount Tambora, locatedOn, 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. Kuta Lombok
    Kuta Lombok is a coastal town on the Indonesian island of Lombok known for its scenic white-sand beaches, surf breaks, and laid-back tourism atmosphere.
  • C. West Nusa Tenggara
    West Nusa Tenggara is a province of Indonesia in the Lesser Sunda Islands, known for its volcanic landscapes, including Mount Rinjani, and its mix of Lombok and Sumbawa cultures and beaches.
  • D. Flores
    Flores is a large island in eastern Indonesia known for its volcanic landscapes, traditional villages, and proximity to Komodo National Park with its famous Komodo dragons.
  • E. Sumba
    Sumba is a rugged island in eastern Indonesia known for its traditional Marapu culture, megalithic tombs, and distinctive ikat textiles.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8f85cc08190ae03ac6c84936cc5 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac89fd91208190ac962ec7059f716b completed March 7, 2026, 8:26 p.m.
Created at: March 1, 2026, 7:42 p.m.