Triple

T13216449
Position Surface form Disambiguated ID Type / Status
Subject Marwari language E314628 entity
Predicate spokenIn P2266 FINISHED
Object Nepal E15177 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: Nepal | Statement: [Marwari language, spokenIn, Nepal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nepal
Context triple: [Marwari language, spokenIn, Nepal]
  • A. Nepal chosen
    Nepal is a landlocked South Asian country in the Himalayas, known for Mount Everest, its rich cultural heritage, and its location between India and China.
  • B. Bhutan
    Bhutan is a small, landlocked Himalayan kingdom in South Asia known for its Buddhist culture, mountainous landscapes, and emphasis on Gross National Happiness.
  • C. Kingdom of Nepal
    The Kingdom of Nepal was a former Himalayan monarchy in South Asia, centered on the Kathmandu Valley, that existed until it became the Federal Democratic Republic of Nepal in 2008.
  • D. Naipali
    Naipali is an alternative name for Khas Kura, the historical Indo-Aryan language variety that evolved into modern standard Nepali.
  • E. Wallichia
    Wallichia is a genus of palms native to South and Southeast Asia, named in honor of the Danish botanist Nathaniel Wallich.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf28c9c819080d7b42d20f579d1 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a2a3f2881909af3e146ee24062d completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:18 p.m.