Triple

T17799898
Position Surface form Disambiguated ID Type / Status
Subject Oudomxay Province E444393 entity
Predicate hasOfficialLanguage P236 FINISHED
Object Lao 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: Lao | Statement: [Oudomxay Province, hasOfficialLanguage, Lao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lao
Context triple: [Oudomxay Province, hasOfficialLanguage, Lao]
  • 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. 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.
  • C. Dholuo
    Dholuo is a Nilotic language spoken primarily by the Luo people of western Kenya and parts of Tanzania.
  • D. Lisu
    The Lisu are an ethnic minority people of the mountainous regions of southwest China and neighboring countries, known for their distinct Tibeto-Burman language, traditional music, and vibrant festivals.
  • E. 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.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487fe19dc8190b7e9dc96f39e0861 completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:13 a.m.