Triple

T15701499
Position Surface form Disambiguated ID Type / Status
Subject Xueshan Range E380603 entity
Predicate highestPeak P1674 FINISHED
Object Snow Mountain 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: Snow Mountain | Statement: [Xueshan Range, highestPeak, Snow Mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snow Mountain
Context triple: [Xueshan Range, highestPeak, Snow Mountain]
  • A. Snow Mountain chosen
    Snow Mountain is one of Taiwan’s highest and most prominent peaks, renowned for its alpine scenery and popular hiking routes.
  • B. Ice Mountain
    Ice Mountain is a regional bottled water brand in the United States known for its spring water sourced from Midwestern aquifers.
  • C. West Mountain
    West Mountain is a ski and recreation area in the Adirondack region of upstate New York, offering downhill skiing, snowboarding, and year-round outdoor activities.
  • D. West Mountain
    West Mountain is one of the main ski slopes within the Rusutsu Resort in Hokkaido, Japan, offering a variety of runs for skiers and snowboarders.
  • E. West Mountain
    West Mountain is a prominent forested ridge within Hot Springs National Park in Arkansas, known for its scenic overlooks, hiking trails, and views of the surrounding Ouachita Mountains.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6e965881909319f85c51c6fb74 completed April 16, 2026, 2:54 a.m.
Created at: April 10, 2026, 4:45 a.m.