Triple

T2808237
Position Surface form Disambiguated ID Type / Status
Subject Zhejiang Province E54104 entity
Predicate hasTouristAttraction P530 FINISHED
Object Wuzhen E214692 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: Wuzhen | Statement: [Zhejiang Province, hasTouristAttraction, Wuzhen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wuzhen
Context triple: [Zhejiang Province, hasTouristAttraction, Wuzhen]
  • A. Wuzhen chosen
    Wuzhen is a historic water town in eastern China known for its ancient canals, traditional architecture, and cultural tourism.
  • B. Zhujiajiao water town
    Zhujiajiao water town is an ancient canal town on the outskirts of Shanghai, famed for its historic stone bridges, traditional riverside architecture, and network of picturesque waterways.
  • C. Suzhou
    Suzhou is a historic and economically significant city in eastern China, renowned for its classical gardens, canals, and silk industry.
  • D. Jiaxing
    Jiaxing is a historic city in eastern China's Zhejiang province, best known as one of the birthplaces of the Chinese Communist Party and an important regional economic and cultural center.
  • E. Xikou Town
    Xikou Town is a historic town in Fenghua District, Ningbo, Zhejiang Province, best known as the hometown of Chiang Kai-shek and a popular cultural and tourist destination.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde2fdcf88190a52e515c166ea8f7 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8aa2bac8190b3c310c7b0e60c75 completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 9:59 p.m.