Triple

T22315441
Position Surface form Disambiguated ID Type / Status
Subject Yuchi Township E551627 entity
Predicate hasTourismAttraction P5121 FINISHED
Object Wenwu Temple 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: Wenwu Temple | Statement: [Yuchi Township, hasTourismAttraction, Wenwu Temple]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wenwu Temple
Context triple: [Yuchi Township, hasTourismAttraction, Wenwu Temple]
  • A. Wenwu Temple chosen
    Wenwu Temple is a prominent lakeside Taoist temple and tourist attraction overlooking Sun Moon Lake in Nantou County, Taiwan.
  • B. Yuquan Temple
    Yuquan Temple is a historic Buddhist temple and popular cultural site located in Tianshui, Gansu Province, China.
  • C. Yuquan Temple
    Yuquan Temple is a historic Buddhist temple located on Mount Hua in China, known for its religious significance and scenic mountain setting.
  • D. Tiegong Temple
    Tiegong Temple is a historic temple located within the scenic Daming Lake area in Jinan, China, known for its traditional architecture and cultural significance.
  • E. Yanshui Wu Temple
    Yanshui Wu Temple is a historic Taoist temple in Yanshui District, Tainan, Taiwan, renowned as the focal site of the annual Yanshui Beehive Fireworks Festival.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1575287688190aa642bb49b24f5a1 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.