Triple

T15873129
Position Surface form Disambiguated ID Type / Status
Subject Supreme Court of Bhutan E384878 entity
Predicate hasOfficialLanguage P236 FINISHED
Object Dzongkha 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: Dzongkha | Statement: [Supreme Court of Bhutan, hasOfficialLanguage, Dzongkha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dzongkha
Context triple: [Supreme Court of Bhutan, hasOfficialLanguage, Dzongkha]
  • A. Dzongkha chosen
    Dzongkha is a Sino-Tibetan language spoken primarily in Bhutan, where it serves as the national and administrative language.
  • B. Tibetan
    Tibetan is a Sino-Tibetan language spoken primarily in Tibet and surrounding Himalayan regions, serving as the liturgical language of Tibetan Buddhism and a key marker of Tibetan cultural identity.
  • C. Dholuo
    Dholuo is a Nilotic language spoken primarily by the Luo people of western Kenya and parts of Tanzania.
  • 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. Gyel dialect
    The Gyel dialect is a regional variety of the Berom language spoken by the Berom people of central Nigeria.
  • 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_69e155faefd08190af634867370796b3 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1045f88190ae96a2477497038c completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:51 a.m.