Triple

T23506308
Position Surface form Disambiguated ID Type / Status
Subject Bodish languages E572290 entity
Predicate hasMember P10 FINISHED
Object Khams 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: Khams Tibetan | Statement: [Bodish languages, hasMember, Khams Tibetan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khams Tibetan
Context triple: [Bodish languages, hasMember, Khams Tibetan]
  • A. Zhaba Tibetan
    Zhaba Tibetan is a Tibetic language variety spoken by the Zhaba people in parts of Sichuan, China.
  • B. 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.
  • C. Bhutia
    Bhutia is a Sino-Tibetan language spoken primarily by the Bhutia community in the Himalayan regions of India, especially in Sikkim and parts of West Bengal.
  • D. Puli Khumri
    Puli Khumri is a major industrial and commercial city in northern Afghanistan known for its strategic location on key transport routes.
  • E. Tengyur
    Tengyur is a major Tibetan Buddhist canonical collection comprising translations of Indian commentarial and scholastic works that explain and elaborate on the Buddha’s teachings.
  • 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.