Triple

T22321929
Position Surface form Disambiguated ID Type / Status
Subject Tengger Mountains E551807 entity
Predicate contains P35 FINISHED
Object Mount Batok 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 Batok | Statement: [Tengger Mountains, contains, Mount Batok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Batok
Context triple: [Tengger Mountains, contains, Mount Batok]
  • A. Mount Batok chosen
    Mount Batok is a small, steep-sided volcanic cone in East Java, Indonesia, located near Mount Bromo within the Tengger caldera and known for its striking, photogenic profile.
  • B. Mount Batini
    Mount Batini is the highest peak on Vanua Levu, Fiji’s second-largest island.
  • C. Mount Batuangus
    Mount Batuangus is a volcanic mountain in North Sulawesi, Indonesia, known for its rugged terrain and biodiversity within the Tangkoko Batuangus Nature Reserve.
  • D. Mount Loilaeng
    Mount Loilaeng is a prominent peak in eastern Myanmar, recognized as the highest mountain in the Shan Hills range.
  • E. 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.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15764d3a48190af79ce4642b7f563 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:42 p.m.