Triple

T1794012
Position Surface form Disambiguated ID Type / Status
Subject China (album) E39562 entity
Predicate hasTrack P3284 FINISHED
Object Himalaya E5063 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: Himalaya | Statement: [China (album), hasTrack, Himalaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Himalaya
Context triple: [China (album), hasTrack, Himalaya]
  • A. Himalayas chosen
    The Himalayas are a vast mountain range in Asia, home to many of the world’s highest peaks including Mount Everest, and form a natural barrier between the Indian subcontinent and the Tibetan Plateau.
  • B. Tibetan Himalayas
    The Tibetan Himalayas are a high-altitude segment of the Greater Himalayas characterized by vast plateaus, towering peaks, and a cold, arid climate across the Tibetan region.
  • C. Kailash Range
    The Kailash Range is a prominent mountain range in Tibet best known for Mount Kailash, a peak sacred in Hinduism, Buddhism, Jainism, and Bon.
  • D. Karakoram
    Karakoram is a major mountain range in Central and South Asia, home to some of the world’s highest peaks including K2 and extensive glaciers.
  • E. Himadri
    Himadri is the highest and most continuous range of the Himalayas, characterized by towering snow-covered peaks including Mount Everest and other major summits.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa653c4c148190bfe6ac017ecbf695 completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7edf084881908bb8db8e0348bfc8 completed March 9, 2026, 8:03 a.m.
Created at: March 4, 2026, 7:32 p.m.