Triple

T9912704
Position Surface form Disambiguated ID Type / Status
Subject Beixiu Lake E185784 entity
Predicate partOf P40 FINISHED
Object Yuexiu Park E35679 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: Yuexiu Park | Statement: [Beixiu Lake, partOf, Yuexiu Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuexiu Park
Context triple: [Beixiu Lake, partOf, Yuexiu Park]
  • A. Yuexiu Park chosen
    Yuexiu Park is a large, historic urban park in central Guangzhou, China, known for its scenic lakes, cultural relics, and the iconic Five Rams Statue.
  • B. Zhongshan Park
    Zhongshan Park is a public urban park in central Beijing known for its historical monuments, landscaped gardens, and proximity to the Forbidden City.
  • C. Yao Garden
    Yao Garden is a Japanese-inspired garden within the Bellevue Botanical Garden that showcases traditional design elements, serene plantings, and seasonal color.
  • D. Beihai Park
    Beihai Park is a historic imperial garden and public park in central Beijing, renowned for its large lake, traditional Chinese architecture, and iconic White Dagoba.
  • E. Guangqi Park
    Guangqi Park was the former name of Shanghai’s historic Fuxing Park, a well-known French-style urban green space in the city’s former French Concession.
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb53a300481909d917e487d8aab56 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d22c56081909c3e4b8ca0e81fe7 completed April 5, 2026, 10:44 a.m.
Created at: March 30, 2026, 8:41 p.m.