Triple

T630469
Position Surface form Disambiguated ID Type / Status
Subject Bhutan E15914 entity
Predicate officialLanguage P236 FINISHED
Object Dzongkha
Dzongkha is a Sino-Tibetan language spoken primarily in Bhutan, where it serves as the national and administrative language.
 E79075 NE FINISHED

How this triple was built (4 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: [Bhutan, officialLanguage, Dzongkha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dzongkha
Context triple: [Bhutan, officialLanguage, Dzongkha]
  • A. Nepali
    Nepali is an Indo-Aryan language primarily spoken in Nepal and parts of India, serving as Nepal’s official language and a major lingua franca of the Himalayan region.
  • B. Santhali
    Santhali is an Austroasiatic language spoken primarily by the Santal people in eastern India, Bangladesh, Nepal, and Bhutan.
  • C. Bodo
    Bodo is a Sino-Tibetan language spoken primarily by the Bodo people in northeastern India, especially in Assam and surrounding regions.
  • D. Winaray
    Winaray is an Austronesian language spoken primarily in the Eastern Visayas region of the Philippines, particularly in Samar, northern Leyte, and nearby areas.
  • E. Maithili
    Maithili is an Indo-Aryan language spoken primarily in the eastern Indian state of Bihar and neighboring regions, with a rich literary tradition and official recognition in India.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dzongkha
Triple: [Bhutan, officialLanguage, Dzongkha]
Generated description
Dzongkha is a Sino-Tibetan language spoken primarily in Bhutan, where it serves as the national and administrative language.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dzongkha
Target entity description: Dzongkha is a Sino-Tibetan language spoken primarily in Bhutan, where it serves as the national and administrative language.
  • A. Nepali
    Nepali is an Indo-Aryan language primarily spoken in Nepal and parts of India, serving as Nepal’s official language and a major lingua franca of the Himalayan region.
  • B. Santhali
    Santhali is an Austroasiatic language spoken primarily by the Santal people in eastern India, Bangladesh, Nepal, and Bhutan.
  • C. Bodo
    Bodo is a Sino-Tibetan language spoken primarily by the Bodo people in northeastern India, especially in Assam and surrounding regions.
  • D. Winaray
    Winaray is an Austronesian language spoken primarily in the Eastern Visayas region of the Philippines, particularly in Samar, northern Leyte, and nearby areas.
  • E. Maithili
    Maithili is an Indo-Aryan language spoken primarily in the eastern Indian state of Bihar and neighboring regions, with a rich literary tradition and official recognition in India.
  • F. None of above. chosen

Provenance (5 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ec051bc8190b3e3f8651a367d77 completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56c4d84d8819095afbf0ee9c7bd82 completed March 2, 2026, 10:54 a.m.
NEDg Description generation batch_69a56c99153c8190bb457b19c2f97052 completed March 2, 2026, 10:55 a.m.
NED2 Entity disambiguation (via description) batch_69a56d31be8881909155f2eac7131798 completed March 2, 2026, 10:57 a.m.
Created at: March 1, 2026, 7:35 p.m.