Triple

T21528222
Position Surface form Disambiguated ID Type / Status
Subject Bhutia E531153 entity
Predicate closelyRelatedTo P37 FINISHED
Object Standard Tibetan 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: Standard Tibetan | Statement: [Bhutia, closelyRelatedTo, Standard Tibetan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Standard Tibetan
Context triple: [Bhutia, closelyRelatedTo, Standard Tibetan]
  • A. Tibetan chosen
    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.
  • B. Gyel dialect
    The Gyel dialect is a regional variety of the Berom language spoken by the Berom people of central Nigeria.
  • C. Tibetan script
    Tibetan script is an abugida writing system historically used for the Tibetan language and various Himalayan languages, characterized by its distinctive stacked consonants and association with Buddhist literature.
  • D. Tsongol dialect
    The Tsongol dialect is a regional variety of the Mongolic languages spoken by Tsongol communities, preserving archaic features traceable to Proto-Mongolic.
  • E. Dzongkha
    Dzongkha is a Sino-Tibetan language spoken primarily in Bhutan, where it serves as the national and administrative language.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee8852e68c8190a5341c9f75081382 completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.