Triple

T20797643
Position Surface form Disambiguated ID Type / Status
Subject Karo Regency E511952 entity
Predicate contains P35 FINISHED
Object Mount Sinabung 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: Mount Sinabung | Statement: [Karo Regency, contains, Mount Sinabung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Sinabung
Context triple: [Karo Regency, contains, Mount Sinabung]
  • A. Mount Sinabung chosen
    Mount Sinabung is an active stratovolcano in northern Sumatra, Indonesia, known for its frequent and often destructive eruptions in the 21st century.
  • B. Mount Duasudara
    Mount Duasudara is a twin-peaked volcano in North Sulawesi, Indonesia, known for its biodiversity-rich forests and location within the Tangkoko Batuangus Nature Reserve.
  • C. Mount Salak
    Mount Salak is a volcanic mountain in West Java, Indonesia, known for its rugged terrain, frequent mist, and history of aviation accidents.
  • D. Mount Papandayan
    Mount Papandayan is an active stratovolcano in West Java, Indonesia, known for its steaming fumaroles, sulfur craters, and popular hiking trails.
  • E. 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.
  • 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2ae2c4c819087f620df31dc1aba completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:39 p.m.