Triple

T13168378
Position Surface form Disambiguated ID Type / Status
Subject Nanda Devi Mela E312911 entity
Predicate associatedWithDeity P1481 FINISHED
Object Nanda Devi E178834 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: Nanda Devi | Statement: [Nanda Devi Mela, associatedWithDeity, Nanda Devi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanda Devi
Context triple: [Nanda Devi Mela, associatedWithDeity, Nanda Devi]
  • A. Nanda Devi chosen
    Nanda Devi is the second-highest mountain in India and a prominent Himalayan peak renowned for its dramatic prominence and surrounding biosphere reserve.
  • B. Neel Parvat
    Neel Parvat is a hill near Haridwar in Uttarakhand, India, known as a prominent Hindu pilgrimage site and scenic vantage point overlooking the Ganges River.
  • C. Garhshankar
    Garhshankar is a town and municipal council in the Hoshiarpur district of the Indian state of Punjab.
  • D. Kedarnath peak
    Kedarnath peak is a prominent Himalayan mountain in Uttarakhand, India, revered in Hinduism and forming a dramatic backdrop to the sacred Kedarnath Temple.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c2c317881908cc715c97d915f77 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaf92c1881909d387dcf50d8d09f completed May 3, 2026, 6:28 a.m.
Created at: April 9, 2026, 9:13 p.m.