Triple

T3477652
Position Surface form Disambiguated ID Type / Status
Subject .np E73412 entity
Predicate languageOfUse P237 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: [.np, languageOfUse, Nepali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nepali
Context triple: [.np, languageOfUse, 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. Newar language
    The Newar language is an indigenous Sino-Tibetan language of Nepal, historically associated with the Newar people and the Kathmandu Valley’s rich literary and cultural traditions.
  • C. Newar
    Newar are an indigenous ethnic group of the Kathmandu Valley in Nepal, known for their rich urban culture, craftsmanship, and Newar language.
  • D. 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.
  • E. 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.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb5b7584819096eadd1c5268eab1 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681822488190a9876a21236f9aa3 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.