Triple

T22851839
Position Surface form Disambiguated ID Type / Status
Subject Chinese martial arts E566373 entity
Predicate hasSubclass P1244 FINISHED
Object Baguazhang 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: Baguazhang | Statement: [Chinese martial arts, hasSubclass, Baguazhang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baguazhang
Context triple: [Chinese martial arts, hasSubclass, Baguazhang]
  • A. Heihu Quan
    Heihu Quan is the pinyin romanization of Black Tiger Spring, a famous natural spring in Jinan, China.
  • B. Taichu
    Taichu was an era name used during the reign of Emperor Wu of the Western Han dynasty in ancient China, marking a significant period of political centralization and cultural development.
  • C. Wing Chau
    Wing Chau is a United States Marshal who serves as the chief federal law enforcement officer for the District of Rhode Island.
  • D. Shaolin Rou Quan
    Shaolin Rou Quan is a soft, flowing substyle of Shaolin martial arts that emphasizes internal energy, circular movements, and relaxed power.
  • E. Wudang martial arts chosen
    Wudang martial arts are a renowned school of Chinese internal martial arts rooted in Taoist philosophy, emphasizing balance, softness overcoming hardness, and practices like Taijiquan, Xingyiquan, and Baguazhang.
  • 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17eb9a5b8819091cbb4ac42fbf778 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:36 p.m.