Triple

T21053832
Position Surface form Disambiguated ID Type / Status
Subject Zigula language E518656 entity
Predicate alternateName P39 FINISHED
Object Zigua 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: Zigua | Statement: [Zigula language, alternateName, Zigua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zigua
Context triple: [Zigula language, alternateName, Zigua]
  • A. Zigua chosen
    The Zigua are a Bantu-speaking ethnic group of northeastern Tanzania known for their rich oral traditions and agriculture-based livelihoods.
  • B. Chiwu
    Chiwu was the era name used by Sun Quan, ruler of Eastern Wu during China’s Three Kingdoms period, for a specific span of his reign.
  • C. Zihuan
    Zihuan is the courtesy name of Cao Pi, the first emperor of the state of Cao Wei during China’s Three Kingdoms period.
  • D. Guiziga
    The Guiziga are an ethnic group indigenous to northern Cameroon, known for their distinct language and agrarian cultural traditions.
  • E. Fulin
    Fulin, better known by his temple name the Shunzhi Emperor, was the first Qing dynasty emperor to rule over China proper from Beijing in the mid-17th century.
  • 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7e087c81908712ddc63e8b1e6c completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:36 p.m.