Triple

T1743100
Position Surface form Disambiguated ID Type / Status
Subject Yunnan Province E38274 entity
Predicate ethnicGroup P194 FINISHED
Object Tibetan E109616 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: Tibetan | Statement: [Yunnan Province, ethnicGroup, Tibetan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tibetan
Context triple: [Yunnan Province, ethnicGroup, 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. Dzongkha
    Dzongkha is a Sino-Tibetan language spoken primarily in Bhutan, where it serves as the national and administrative language.
  • C. Burushaski
    Burushaski is a language isolate spoken by the Burusho people in northern Pakistan, particularly in the Hunza, Nagar, and Yasin valleys of Gilgit-Baltistan.
  • D. Garhwali
    Garhwali is an Indo-Aryan language spoken primarily in the Garhwal region of the Indian state of Uttarakhand.
  • E. 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.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c836d48190bd44ea24977aba2d completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8b0ab7008190a2fafe1c8ac55ac4 completed March 8, 2026, 2:43 p.m.
Created at: March 4, 2026, 7:31 p.m.