Triple

T8008025
Position Surface form Disambiguated ID Type / Status
Subject Yuexiu District E186413 entity
Predicate contains P35 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: [Yuexiu District, contains, Yuexiu Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuexiu Park
Context triple: [Yuexiu District, contains, 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. Nanhu Park
    Nanhu Park is a large scenic urban park and popular recreational area in Changchun, China, known for its lake, green spaces, and seasonal activities.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d6e1c9081909018bcebb18906f6 completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc569e90d48190a1bf1495496017f8 completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:18 p.m.