Triple

T8789978
Position Surface form Disambiguated ID Type / Status
Subject Panyu District E209137 entity
Predicate contains P35 FINISHED
Object Panyu Square E702458 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: Panyu Square | Statement: [Panyu District, contains, Panyu Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panyu Square
Context triple: [Panyu District, contains, Panyu Square]
  • A. Panyu Square chosen
    Panyu Square is a major transportation and commercial hub in Guangzhou’s Panyu District, serving as a key southern gateway to the city.
  • B. Yuexiu Park
    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.
  • C. Pazhou Complex
    Pazhou Complex is a major modern convention and exhibition center in Guangzhou, China, best known as the primary venue for the China Import and Export Fair (Canton Fair).
  • D. Panyu Square station
    Panyu Square station is a metro station in Guangzhou, China, functioning as a stop on the busy Guangzhou Metro Line 3 and serving the Panyu District area.
  • E. 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.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8d25f881908863d636fa57a8a2 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f493f648190b0e9392f1abb44a1 completed April 3, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:43 p.m.