Triple

T6060713
Position Surface form Disambiguated ID Type / Status
Subject Qiangic languages E135025 entity
Predicate hasSubgroup P747 FINISHED
Object Pumi language
The Pumi language is a Sino-Tibetan language spoken primarily by the Pumi ethnic group in southwestern China, notable for its complex phonology and endangered status.
 E566328 NE FINISHED

How this triple was built (4 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: Pumi language | Statement: [Qiangic languages, hasSubgroup, Pumi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pumi language
Context triple: [Qiangic languages, hasSubgroup, Pumi language]
  • A. Pokomo language
    The Pokomo language is a Bantu language spoken primarily by the Pokomo people along Kenya’s Tana River.
  • B. Puyuma language
    The Puyuma language is an endangered Austronesian language spoken by the Puyuma Indigenous people of southeastern Taiwan.
  • C. Gumer language
    The Gumer language is an Afroasiatic Semitic language spoken by the Gumer people of the Gurage region in central Ethiopia.
  • D. Pamona language
    The Pamona language is an Austronesian language spoken by the Pamona people of central Sulawesi, Indonesia.
  • E. Rumsen language
    Rumsen language is an extinct Ohlone (Costanoan) Native American language formerly spoken in the Monterey Bay area of California.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pumi language
Triple: [Qiangic languages, hasSubgroup, Pumi language]
Generated description
The Pumi language is a Sino-Tibetan language spoken primarily by the Pumi ethnic group in southwestern China, notable for its complex phonology and endangered status.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pumi language
Target entity description: The Pumi language is a Sino-Tibetan language spoken primarily by the Pumi ethnic group in southwestern China, notable for its complex phonology and endangered status.
  • A. Pokomo language
    The Pokomo language is a Bantu language spoken primarily by the Pokomo people along Kenya’s Tana River.
  • B. Puyuma language
    The Puyuma language is an endangered Austronesian language spoken by the Puyuma Indigenous people of southeastern Taiwan.
  • C. Gumer language
    The Gumer language is an Afroasiatic Semitic language spoken by the Gumer people of the Gurage region in central Ethiopia.
  • D. Pamona language
    The Pamona language is an Austronesian language spoken by the Pamona people of central Sulawesi, Indonesia.
  • E. Rumsen language
    Rumsen language is an extinct Ohlone (Costanoan) Native American language formerly spoken in the Monterey Bay area of California.
  • F. None of above. chosen

Provenance (5 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_69c00878d06881909ee78e88913bf890 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0571fcecc8190a68e0d0668bbbfa7 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d197dd08190bcc6904c7c2e41aa completed March 23, 2026, 10:59 a.m.
NEDg Description generation batch_69c11e4454948190a8f4643cb55e673a completed March 23, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_69c11ec554688190bfe184608944a15e completed March 23, 2026, 11:06 a.m.
Created at: March 22, 2026, 4:10 p.m.