Triple

T9444359
Position Surface form Disambiguated ID Type / Status
Subject Ba Vì mountain range E227725 entity
Predicate contains P35 FINISHED
Object Vua Peak E860849 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: Vua Peak | Statement: [Ba Vì mountain range, contains, Vua Peak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vua Peak
Context triple: [Ba Vì mountain range, contains, Vua Peak]
  • A. Vua Peak chosen
    Vua Peak is the tallest mountain summit in Vietnam’s Ba Vì range, known for its cool climate, forested slopes, and panoramic views over the surrounding region.
  • B. Coronet Peak
    Coronet Peak is a popular alpine ski area in New Zealand’s South Island, known for its groomed runs, night skiing, and proximity to Queenstown.
  • C. King Peak
    King Peak is the tallest mountain in California’s remote King Range along the Lost Coast, known for its rugged terrain and dramatic rise from the Pacific Ocean.
  • D. Nemo Peak
    Nemo Peak is a volcanic mountain that forms the central cone of the caldera island of Onekotan in Russia’s Kuril Islands.
  • E. Ruen Peak
    Ruen Peak is the highest summit of the Osogovo mountain range, located on the border between Bulgaria and North Macedonia.
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f32aee88190a43573f97fa1e49d completed April 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d7faf8c1048190a136289a44a0930b completed April 9, 2026, 7:16 p.m.
Created at: March 30, 2026, 7:51 p.m.