Triple

T517401
Position Surface form Disambiguated ID Type / Status
Subject Laos E10737 entity
Predicate hasOfficialLanguage P236 FINISHED
Object Lao 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: Lao | Statement: [Laos, hasOfficialLanguage, Lao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lao
Context triple: [Laos, hasOfficialLanguage, Lao]
  • 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. 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.
  • C. Unami language
    The Unami language is an Eastern Algonquian Native American language traditionally spoken by the Lenape (Delaware) people in the mid-Atlantic region of the United States.
  • D. Dili
    Dili is the coastal capital and largest city of Timor-Leste, serving as its political, economic, and cultural center.
  • E. Kichwa
    Kichwa is a Quechuan indigenous language variety widely spoken by Andean communities in Ecuador and neighboring regions.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f19d81d48190bd65a02059fc8473 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4a42b9a648190ab38c181da2ae0f6 completed March 1, 2026, 8:40 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.