Triple

T2356912
Position Surface form Disambiguated ID Type / Status
Subject Tai–Kadai languages E47577 entity
Predicate includesLanguage P2177 FINISHED
Object Lao language E64990 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: Lao language | Statement: [Tai–Kadai languages, includesLanguage, Lao language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lao language
Context triple: [Tai–Kadai languages, includesLanguage, Lao language]
  • A. Lao chosen
    Lao is the official and most widely spoken language of Laos, belonging to the Tai-Kadai language family and closely related to Thai.
  • B. 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.
  • 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. Kalao language
    The Kalao language is an Austronesian language spoken by a small community in South Sulawesi, Indonesia.
  • E. 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.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc71e0c68819082eebd80721abcc1 completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9638ef948190adf945aba42fac76 completed March 9, 2026, 9:43 a.m.
Created at: March 4, 2026, 7:54 p.m.