Triple

T586936
Position Surface form Disambiguated ID Type / Status
Subject Nepal E15177 entity
Predicate officialLanguage P236 FINISHED
Object Nepali E23998 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: Nepali | Statement: [Nepal, officialLanguage, Nepali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nepali
Context triple: [Nepal, officialLanguage, Nepali]
  • A. Nepali chosen
    Nepali is an Indo-Aryan language primarily spoken in Nepal and parts of India, serving as Nepal’s official language and a major lingua franca of the Himalayan region.
  • B. Bhojpuri
    Bhojpuri is an Indo-Aryan language spoken primarily in eastern Uttar Pradesh, western Bihar, and parts of Nepal, with a rich folk culture and a large diaspora community.
  • C. Maithili
    Maithili is an Indo-Aryan language spoken primarily in the eastern Indian state of Bihar and neighboring regions, with a rich literary tradition and official recognition in India.
  • D. Santhali
    Santhali is an Austroasiatic language spoken primarily by the Santal people in eastern India, Bangladesh, Nepal, and Bhutan.
  • E. Nepali American
    Nepali American refers to people in the United States who have ancestry from Nepal, forming a distinct community within the broader Asian American population.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9bf0cc8190a145ccd6fc501349 completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5103a30fc819086a1e95d4dfc8749 completed March 2, 2026, 4:21 a.m.
Created at: March 1, 2026, 7:33 p.m.