Triple

T5872606
Position Surface form Disambiguated ID Type / Status
Subject Java E130552 entity
Predicate hasVolcano P6356 FINISHED
Object Tangkuban Perahu E24719 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: Tangkuban Perahu | Statement: [Java, hasVolcano, Tangkuban Perahu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tangkuban Perahu
Context triple: [Java, hasVolcano, Tangkuban Perahu]
  • A. Tangkuban Perahu chosen
    Tangkuban Perahu is a popular stratovolcano in West Java, Indonesia, known for its distinctive boat-like shape and easily accessible craters.
  • B. Galunggung volcano
    Galunggung volcano is an active stratovolcano in West Java, Indonesia, known for its explosive 1982 eruption that significantly disrupted regional air traffic.
  • C. Mount Kelud
    Mount Kelud is an active stratovolcano in Indonesia known for its explosive eruptions and significant impact on the surrounding East Java region.
  • D. Mount Bromo
    Mount Bromo is an active and highly popular volcano in East Java, Indonesia, renowned for its dramatic crater landscape and sunrise views within the Tengger caldera.
  • E. Mount Semeru
    Mount Semeru is the highest and one of the most active volcanoes on the Indonesian island of Java, renowned for its frequent eruptions and prominent conical peak.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035f99b788190b5b06d83b9499bfa completed March 22, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70adafa888190be606aba83a50302 completed March 27, 2026, 10:55 p.m.
Created at: March 22, 2026, 3:56 p.m.