Triple

T2808247
Position Surface form Disambiguated ID Type / Status
Subject Zhejiang Province E54104 entity
Predicate hasScenicArea P29946 FINISHED
Object West Lake E299029 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: West Lake | Statement: [Zhejiang Province, hasScenicArea, West Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: West Lake
Context triple: [Zhejiang Province, hasScenicArea, West Lake]
  • A. West Lake
    West Lake is the largest freshwater lake in Hanoi, Vietnam, renowned for its scenic beauty, historic temples, and surrounding cafes and promenades.
  • B. West Lake chosen
    West Lake is a famous freshwater lake and UNESCO World Heritage Site in Hangzhou, China, celebrated for its scenic beauty, historic temples, and classical Chinese garden landscapes.
  • C. Kunming Lake
    Kunming Lake is a large, scenic man-made lake in Beijing that forms the central water feature of the Summer Palace imperial garden complex.
  • D. Dianshan Lake
    Dianshan Lake is a large freshwater lake in Shanghai, China, known as an important water source and popular recreational area.
  • E. Weiming Lake
    Weiming Lake is a scenic, historically significant lake located at the heart of Peking University’s campus in Beijing, renowned as a symbol of the university’s cultural and academic life.
  • 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_69abe0895e5881909702e69aaee5c425 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce97c3008190a966441d719d1d1c completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.