Triple

T23506352
Position Surface form Disambiguated ID Type / Status
Subject Bodish languages E572290 entity
Predicate majorLanguage P207 FINISHED
Object Dzongkha NE NERFINISHED

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: [Bodish languages, majorLanguage, Dzongkha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dzongkha
Context triple: [Bodish languages, majorLanguage, 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. Amdo Tibetan
    Amdo Tibetan is a Tibetic language spoken primarily in the Amdo region of Tibet and adjacent areas of China, known for preserving many archaic phonological features.
  • D. Rgyalrong language
    The Rgyalrong language is a group of closely related Sino-Tibetan languages spoken primarily by the Rgyalrong people in Sichuan, China, noted for their complex morphology and conservative phonological features.
  • E. Dholuo
    Dholuo is a Nilotic language spoken primarily by the Luo people of western Kenya and parts of Tanzania.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a9009ca081908c4cffb8c32293ec completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:07 p.m.