Triple

T21917476
Position Surface form Disambiguated ID Type / Status
Subject Kumaoni language E541216 entity
Predicate hasAlternativeName P39 FINISHED
Object Kumaonī 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: Kumaonī | Statement: [Kumaoni language, hasAlternativeName, Kumaonī]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kumaonī
Context triple: [Kumaoni language, hasAlternativeName, Kumaonī]
  • A. Kumaoni chosen
    Kumaoni is an Indo-Aryan language spoken primarily in the Kumaon region of India’s Uttarakhand state, known for its rich oral traditions and distinct dialects.
  • B. Kumaon
    Kumaon is a culturally rich Himalayan region in the Indian state of Uttarakhand, known for its mountainous landscapes, distinct traditions, and historic hill towns like Nainital and Almora.
  • C. Bahun
    Bahun is a high-caste Hindu Brahmin community in Nepal traditionally associated with priestly and scholarly roles.
  • D. Kumher
    Kumher is a historic town in the Braj region of northern India, known for its cultural and religious significance linked to the legends of Lord Krishna.
  • E. Bimla
    Bimla is a central character in Anita Desai’s novel "Clear Light of Day," depicted as one of the Das siblings whose personal growth and family relationships reflect the tensions of post-partition India.
  • 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_69e0c47c4b9c8190a5586a75f5f36453 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1233858308190a877d8015db4d380 completed April 28, 2026, 9:14 p.m.
Created at: April 16, 2026, 7:43 p.m.