Triple

T11137252
Position Surface form Disambiguated ID Type / Status
Subject Kam–Sui languages E263446 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Sui language E257938 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: Sui language | Statement: [Kam–Sui languages, hasMemberLanguage, Sui language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sui language
Context triple: [Kam–Sui languages, hasMemberLanguage, Sui language]
  • A. Sui language chosen
    The Sui language is a Tai–Kadai language spoken primarily by the Sui ethnic group in Guizhou and neighboring provinces of southern China.
  • B. Suoi language
    The Suoi language is an Austroasiatic language of the Pearic branch spoken by a small indigenous community in parts of mainland Southeast Asia.
  • C. Soga language
    The Soga language is a Bantu language spoken primarily by the Basoga people in eastern Uganda.
  • D. Tai Lue language
    Tai Lue is a Southwestern Tai language spoken primarily by the Tai Lue people in parts of China, Laos, Thailand, Myanmar, and Vietnam, known for its own traditional script and close relation to other Tai languages.
  • E. Yao language
    The Yao language is a Bantu language spoken primarily by the Yao people in Malawi, Mozambique, and Tanzania.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85f2ea48190bf1ff63af1d7d236 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e442030b588190bc958030f30b648a completed April 19, 2026, 2:46 a.m.
Created at: April 8, 2026, 9:28 p.m.