Triple

T1945909
Position Surface form Disambiguated ID Type / Status
Subject Austroasiatic E42054 entity
Predicate hasLanguage P15 FINISHED
Object Khmuʼ language E41506 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: Khmuʼ language | Statement: [Austroasiatic, hasLanguage, Khmuʼ language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khmuʼ language
Context triple: [Austroasiatic, hasLanguage, Khmuʼ language]
  • A. Hmong
    Hmong is a Hmong-Mien language spoken by the Hmong people, many of whom are part of the Asian American community, with several dialects and a rich oral tradition.
  • B. Muong language
    The Muong language is an Austroasiatic language spoken primarily by the Muong people of northern Vietnam, closely related to Vietnamese and written using a Latin-based script.
  • C. Pa’O language
    The Pa’O language is a Tibeto-Burman language spoken primarily by the Pa’O (Taungthu) people of Myanmar, especially in Shan and Kayin States.
  • D. Mon-Khmer chosen
    Mon-Khmer is a major branch of the Austroasiatic language family that includes numerous languages spoken across mainland Southeast Asia and parts of South Asia.
  • E. Zhuang language
    The Zhuang language is a Tai-Kadai language spoken primarily by the Zhuang ethnic group in Guangxi and surrounding regions of southern China.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb300af2481908ae359972843c1ef completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ac7cd1881908d9284370de529ce completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:36 p.m.