Triple

T2233744
Position Surface form Disambiguated ID Type / Status
Subject Nilo-Saharian E49229 entity
Predicate includesLanguage P2177 FINISHED
Object Luo E45322 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: Luo | Statement: [Nilo-Saharian, includesLanguage, Luo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luo
Context triple: [Nilo-Saharian, includesLanguage, Luo]
  • A. Luo chosen
    Luo is a Nilotic language spoken primarily by the Luo people of East Africa, especially in Kenya, Uganda, and Tanzania.
  • B. Luoyi
    Luoyi was an ancient Chinese city that served as a major political and cultural center of the Zhou dynasty.
  • C. Tian
    Tian is a Chinese given name commonly used for both males and females, often associated with meanings related to "sky" or "heaven."
  • D. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • E. Huayu
    Huayu is a term used primarily in Singapore, Malaysia, and other overseas Chinese communities to refer to the standardized form of Mandarin Chinese used in education and media.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0913f1c8190ac9cfeb0f1c84a76 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b020e308190a6d5a50a8e808aba completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:47 p.m.