Triple

T5940789
Position Surface form Disambiguated ID Type / Status
Subject Sleman Regency E132159 entity
Predicate hasNaturalAttraction P5121 FINISHED
Object Mount Merapi 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: Mount Merapi | Statement: [Sleman Regency, hasNaturalAttraction, Mount Merapi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Merapi
Context triple: [Sleman Regency, hasNaturalAttraction, Mount Merapi]
  • 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. Kerinci Volcano
    Kerinci Volcano is an active stratovolcano in Sumatra, Indonesia, and the highest peak on the island as well as the tallest volcano in the country.
  • E. Ekarma Volcano
    Ekarma Volcano is an active stratovolcano forming the uninhabited island of Ekarma in the central Kuril Islands chain of the northwest Pacific.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038f101c081908fb530d2f1f358fc completed March 22, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a5979208190b3bedb6234181245 completed March 28, 2026, 12:01 a.m.
Created at: March 22, 2026, 4:01 p.m.