Triple

T16792740
Position Surface form Disambiguated ID Type / Status
Subject Zhemgang District E408151 entity
Predicate hasLanguage P15 FINISHED
Object Dzongkha (official) 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 (official) | Statement: [Zhemgang District, hasLanguage, Dzongkha (official)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dzongkha (official)
Context triple: [Zhemgang District, hasLanguage, Dzongkha (official)]
  • A. Dzongkha chosen
    Dzongkha is a Sino-Tibetan language spoken primarily in Bhutan, where it serves as the national and administrative language.
  • B. Tsongol dialect
    The Tsongol dialect is a regional variety of the Mongolic languages spoken by Tsongol communities, preserving archaic features traceable to Proto-Mongolic.
  • C. Gyel dialect
    The Gyel dialect is a regional variety of the Berom language spoken by the Berom people of central Nigeria.
  • D. Yamphu language
    The Yamphu language is a Kiranti Sino-Tibetan language spoken by the Yamphu ethnic community in eastern Nepal.
  • E. Khasi language
    Khasi language is an Austroasiatic language spoken primarily in the northeastern Indian state of Meghalaya by the Khasi people.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a7817c8190a53d0cfb5ef66a71 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab0e1e9c8190bb2ef0825b25f6e5 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.