Triple

T23390673
Position Surface form Disambiguated ID Type / Status
Subject Yangluo area E594006 entity
Predicate hasNameInEnglish P3437 FINISHED
Object Yangluo area NE NERFINISHED

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: Yangluo area | Statement: [Yangluo area, hasNameInEnglish, Yangluo area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yangluo area
Context triple: [Yangluo area, hasNameInEnglish, Yangluo area]
  • A. Yangluo area chosen
    Yangluo area is a district of Wuhan, China, known as an outlying urban zone along the Yangtze River that is connected to the city center by the Yangluo Line of the Wuhan Metro.
  • B. Weiwuying area
    The Weiwuying area is an urban district in Kaohsiung, Taiwan, known for its large cultural park and the National Kaohsiung Center for the Arts (Weiwuying).
  • C. Guomao area
    The Guomao area is a major commercial and transportation hub in Beijing, known for its dense cluster of skyscrapers, shopping centers, and the key Guomao interchange on the city’s ring roads.
  • D. Liyuan area
    Liyuan area is a residential and commercial neighborhood within Beijing’s Tongzhou District, known as part of the city’s rapidly developing eastern suburban zone.
  • E. Zhuzihu area
    Zhuzihu area is a scenic valley on Yangmingshan in Taipei, Taiwan, famed for its seasonal calla lily fields, cool climate, and rural mountain landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a49bdfec8190afa592c66660c279 completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:35 p.m.