Triple

T11444711
Position Surface form Disambiguated ID Type / Status
Subject nilgai E271233 entity
Predicate nativeTo P410 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: [nilgai, nativeTo, Nepal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nepal
Context triple: [nilgai, nativeTo, 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8088a66f48190b2b4a56cd62097cf completed April 9, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3afe7fc8190acc8c803ff5efe5a completed April 20, 2026, 7:20 a.m.
Created at: April 8, 2026, 9:35 p.m.