Triple

T16857613
Position Surface form Disambiguated ID Type / Status
Subject Kedu Plain E409825 entity
Predicate boundedBy P224 FINISHED
Object Merapi volcano E22001 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: Merapi volcano | Statement: [Kedu Plain, boundedBy, Merapi volcano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merapi volcano
Context triple: [Kedu Plain, boundedBy, Merapi volcano]
  • A. Mount Merapi chosen
    Mount Merapi is one of Indonesia’s most active and dangerous stratovolcanoes, located on the island of Java near the city of Yogyakarta.
  • B. Mount Kelud
    Mount Kelud is an active stratovolcano in Indonesia known for its explosive eruptions and significant impact on the surrounding East Java region.
  • C. Galunggung volcano
    Galunggung volcano is an active stratovolcano in West Java, Indonesia, known for its explosive 1982 eruption that significantly disrupted regional air traffic.
  • D. Ekarma Volcano
    Ekarma Volcano is an active stratovolcano forming the uninhabited island of Ekarma in the central Kuril Islands chain of the northwest Pacific.
  • E. Mount Karangetang
    Mount Karangetang is an active stratovolcano in North Sulawesi, Indonesia, known as one of the country’s most frequently erupting and hazardous volcanoes.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37e34b88190bb4468424e2edf2d completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dbfb781881908f4d56f523e78f7a completed May 10, 2026, 7:26 p.m.
Created at: April 10, 2026, 5:24 a.m.