Triple

T5501296
Position Surface form Disambiguated ID Type / Status
Subject ШОС E144333 entity
Predicate имеетПартнераПоДиалогу P34923 FINISHED
Object Непал 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: Непал | Statement: [ШОС, имеетПартнераПоДиалогу, Непал]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Непал
Context triple: [ШОС, имеетПартнераПоДиалогу, Непал]
  • 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. Gurung
    Gurung is a Sino-Tibetan language spoken primarily by the Gurung ethnic community from the Himalayan regions of Nepal and its diaspora, including Nepali Americans.
  • D. Kangar
    Kangar is the main administrative and commercial center of the Malaysian state of Perlis.
  • E. Myanmar
    Myanmar is a Southeast Asian nation bordered by India, China, and Thailand, known for its diverse ethnic groups, Buddhist heritage, and long history of military rule and political turmoil.
  • 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_69c008f5a2748190bce7a39aabf87a6d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021d76e4081908570dc34217c66fe completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04ca3e7cc8190b8092983f8db66b6 completed March 22, 2026, 8:10 p.m.
Created at: March 22, 2026, 3:32 p.m.