Triple

T15873761
Position Surface form Disambiguated ID Type / Status
Subject རྫོང་ཁ E384893 entity
Predicate hasAlternativeName P39 FINISHED
Object Bhutanese (language) E79075 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: Bhutanese (language) | Statement: [རྫོང་ཁ, hasAlternativeName, Bhutanese (language)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhutanese (language)
Context triple: [རྫོང་ཁ, hasAlternativeName, Bhutanese (language)]
  • A. Dzongkha chosen
    Dzongkha is a Sino-Tibetan language spoken primarily in Bhutan, where it serves as the national and administrative language.
  • B. Khaling language
    The Khaling language is a Kiranti Sino-Tibetan language spoken by the Khaling ethnic group in eastern Nepal, noted for its complex verbal morphology and rich consonant system.
  • C. Yamphu language
    The Yamphu language is a Kiranti Sino-Tibetan language spoken by the Yamphu ethnic community in eastern Nepal.
  • D. Bhutia
    Bhutia is a Sino-Tibetan language spoken primarily by the Bhutia community in the Himalayan regions of India, especially in Sikkim and parts of West Bengal.
  • E. Chamba language
    The Chamba language is a Niger-Congo language spoken by the Chamba people of Nigeria and Cameroon.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fc02688190b6f070882b846516 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa94e9b548190bec74e6d9790d241 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.