Triple

T8066421
Position Surface form Disambiguated ID Type / Status
Subject State of Yue E188253 entity
Predicate successorState P3025 FINISHED
Object Chu E710001 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: Chu | Statement: [State of Yue, successorState, Chu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chu
Context triple: [State of Yue, successorState, Chu]
  • A. Chu chosen
    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 major river in Central Asia that flows through Kyrgyzstan and Kazakhstan, playing an important role in regional agriculture and water supply.
  • C. Chu
    Chu is a Chinese surname borne by numerous notable individuals across politics, science, arts, and entertainment.
  • D. 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.
  • E. Chō
    Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ff75d208190b7c53d2fe55878ac completed March 31, 2026, 3:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd947cf7a881908b45cf262887da86 completed April 1, 2026, 9:56 p.m.
Created at: March 30, 2026, 5:26 p.m.