Triple

T18363034
Position Surface form Disambiguated ID Type / Status
Subject Qu E439968 entity
Predicate hasVariantTransliteration P5923 FINISHED
Object Chu 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: Chu | Statement: [Qu, hasVariantTransliteration, Chu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chu
Context triple: [Qu, hasVariantTransliteration, Chu]
  • A. Chu
    Chu was a powerful ancient Chinese state during the Spring and Autumn and Warring States periods, known for its distinctive culture, military strength, and significant role in early Chinese history.
  • B. Chu
    Chu is a hard-drinking, brawling demon fighter from the Dark Tournament arc of the anime and manga series Yu Yu Hakusho, known for his wild personality and unorthodox combat style.
  • C. Chu
    Chu is a major river in Central Asia that flows through Kyrgyzstan and Kazakhstan, playing an important role in regional agriculture and water supply.
  • D. Chu chosen
    Chu is a Chinese surname borne by numerous notable individuals across politics, science, arts, and entertainment.
  • E. Chau
    Chau is a romanized surname and given name of Chinese and Vietnamese origin, commonly used as a variant spelling of Zhao and several other East Asian names.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516dd973c8190857c588ab9ad9daf completed April 19, 2026, 5:54 p.m.
Created at: April 10, 2026, 10:37 a.m.