Triple

T10029552
Position Surface form Disambiguated ID Type / Status
Subject Papandayan crater area E204817 entity
Predicate partOf P40 FINISHED
Object Mount Papandayan E204813 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 Papandayan | Statement: [Papandayan crater area, partOf, Mount Papandayan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Papandayan
Context triple: [Papandayan crater area, partOf, Mount Papandayan]
  • A. Mount Papandayan chosen
    Mount Papandayan is an active stratovolcano in West Java, Indonesia, known for its steaming fumaroles, sulfur craters, and popular hiking trails.
  • B. Mount Pangasun
    Mount Pangasun is the tallest volcanic peak in the remote Babuyan Islands of the northern Philippines.
  • 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 Ciremai
    Mount Ciremai is the highest volcano in West Java, Indonesia, known for its prominent peak, forested slopes, and popular hiking routes.
  • E. Mount Tahan
    Mount Tahan is the highest peak on the Malay Peninsula, located within Malaysia’s Taman Negara National Park and renowned for its challenging jungle treks.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcde69bd08190a5c79ec8487dfff6 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d282351ebc8190b22bf3964823b0ee completed April 5, 2026, 3:39 p.m.
Created at: March 30, 2026, 8:54 p.m.