Triple

T9785584
Position Surface form Disambiguated ID Type / Status
Subject Limbu E237483 entity
Predicate nativeTo P410 FINISHED
Object Koshi region E668781 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: Koshi region | Statement: [Limbu, nativeTo, Koshi region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koshi region
Context triple: [Limbu, nativeTo, Koshi region]
  • A. Koshi Province chosen
    Koshi Province is an administrative region in eastern Nepal that encompasses several districts, including mountainous and Himalayan areas.
  • B. Gandaki Province
    Gandaki Province is one of Nepal’s federal provinces in the central part of the country, known for its Himalayan landscapes, including major peaks and popular trekking regions.
  • C. Sudurpashchim Province
    Sudurpashchim Province is a western region of Nepal known for its diverse geography, including Himalayan highlands, river valleys, and proximity to the Indian border.
  • D. Karnali Province
    Karnali Province is a sparsely populated, mountainous region in western Nepal known for its remote landscapes, cultural diversity, and significant natural resources.
  • E. Bagmati Province
    Bagmati Province is a central administrative region of Nepal that includes the nation’s capital, Kathmandu, and serves as a key political and economic hub.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda2107f688190b2cab1509c508319 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1e40ba788819084c3c01518a72e4e completed April 5, 2026, 4:24 a.m.
Created at: March 30, 2026, 8:27 p.m.