Triple

T18997068
Position Surface form Disambiguated ID Type / Status
Subject Lhaksang E464844 entity
Predicate near P350 FINISHED
Object Mount Kailash 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 Kailash | Statement: [Lhaksang, near, Mount Kailash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Kailash
Context triple: [Lhaksang, near, Mount Kailash]
  • A. Mount Kailash chosen
    Mount Kailash is a sacred peak in the Transhimalaya of Tibet revered in Hinduism, Buddhism, Jainism, and Bon as a cosmic mountain and major pilgrimage site.
  • B. Greater Kailash
    Greater Kailash is an upscale residential and commercial neighborhood in South Delhi, India, known for its affluent residents, shopping markets, and eateries.
  • C. Kailash
    Kailash is an Indian social reformer and Nobel Peace Prize laureate renowned for his decades-long campaign against child labor and exploitation.
  • D. Kailash Kailash
    Kailash Kailash is a technology entrepreneur best known as the founder of the cloud security company Zscaler.
  • E. Dakshina Kailasam
    Dakshina Kailasam is an honorific name for the temple town of Srikalahasti in Andhra Pradesh, revered as a major Shaivite pilgrimage center comparable in sanctity to Mount Kailash.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6826464819080ff0e0ffa5cc25e completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.