Triple

T9921638
Position Surface form Disambiguated ID Type / Status
Subject Kunde E187808 entity
Predicate languageSpoken P151 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: [Kunde, languageSpoken, Nepali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nepali
Context triple: [Kunde, languageSpoken, 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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb56abbb88190a21b8b77f1a25b81 completed April 2, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228b8974c81909a603407ebe3df1f completed April 5, 2026, 9:17 a.m.
Created at: March 30, 2026, 8:42 p.m.