Triple

T11369178
Position Surface form Disambiguated ID Type / Status
Subject Shangrao E269295 entity
Predicate hasTouristAttraction P530 FINISHED
Object Wuyuan E405399 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: Wuyuan | Statement: [Shangrao, hasTouristAttraction, Wuyuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wuyuan
Context triple: [Shangrao, hasTouristAttraction, Wuyuan]
  • A. Wuyuan chosen
    Wuyuan is a historic county in northeastern Jiangxi, China, famed for its well-preserved Huizhou-style architecture and picturesque rural landscapes.
  • B. Houyuan
    Houyuan was a historical Chinese era name used during the reign of Emperor Jing of the Western Han dynasty.
  • C. Houyuan
    Houyuan was an era name used during the reign of Emperor Wu of the Western Han dynasty in ancient China.
  • D. Hongyuan
    Hongyuan is a Chinese company best known in sports for its long-term title sponsorship of the Guangdong Southern Tigers basketball team.
  • E. Zicheng
    Zicheng is the courtesy name of Zeng Guofan, a prominent Qing dynasty statesman, military leader, and Confucian scholar who played a key role in suppressing the Taiping Rebellion.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea89e1148190b0ca29db9d7e2cbd completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ef81c65ba48190a8e2b9d7078cd978 completed April 27, 2026, 3:33 p.m.
Created at: April 8, 2026, 9:33 p.m.