Triple

T7009660
Position Surface form Disambiguated ID Type / Status
Subject Gunung Mulu National Park E162547 entity
Predicate hasHighestPoint P210 FINISHED
Object Mount Mulu E635466 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 Mulu | Statement: [Gunung Mulu National Park, hasHighestPoint, Mount Mulu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Mulu
Context triple: [Gunung Mulu National Park, hasHighestPoint, Mount Mulu]
  • A. Mount Mulu chosen
    Mount Mulu is a prominent limestone mountain in northern Borneo, Malaysia, renowned for its dramatic karst landscapes and extensive cave systems.
  • B. Mount Welirang
    Mount Welirang is an active stratovolcano in East Java, Indonesia, known for its sulfur mining and frequent fumarolic activity.
  • C. Mount Loke
    Mount Loke is a peak in Antarctica’s Olympus Range, part of the McMurdo Dry Valleys region known for its cold, arid, and largely ice-free landscape.
  • D. Mount Lokon
    Mount Lokon is an active stratovolcano in North Sulawesi, Indonesia, known for its frequent eruptions and significant volcanic activity.
  • E. Mount Soputan
    Mount Soputan is an active stratovolcano located on the northern arm of Sulawesi in Indonesia, known for its frequent explosive eruptions.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc38039c8190ab420d62bb11b4d9 completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775612fe88190822f297f2bec6cd1 completed March 28, 2026, 6:29 a.m.
Created at: March 27, 2026, 2:34 p.m.