Triple

T19413675
Position Surface form Disambiguated ID Type / Status
Subject Huaqiangbei commercial area E485652 entity
Predicate hasStreet P959 FINISHED
Object Yannan Road NE NERFINISHED

How this triple was built (3 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: Yannan Road | Statement: [Huaqiangbei commercial area, hasStreet, Yannan Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yannan Road
Context triple: [Huaqiangbei commercial area, hasStreet, Yannan Road]
  • A. Yishan Road
    Yishan Road is a Shanghai Metro interchange station serving multiple lines in the Xuhui District of Shanghai, China.
  • B. Changle Road
    Changle Road is a historic, tree-lined street in Shanghai known for its European-style architecture, boutiques, and cafés dating back to the city’s colonial era.
  • C. Zhichun Road
    Zhichun Road is a major thoroughfare in Beijing, China, known for its location in the city’s technology and education district near several universities and tech companies.
  • D. Lancun Road
    Lancun Road is a Shanghai Metro interchange station serving multiple lines in the Pudong New Area of Shanghai, China.
  • E. Hangzhong Road
    Hangzhong Road is a Shanghai Metro station that serves as a terminus on a branch of Line 10 in Shanghai, China.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yannan Road
Target entity description: Yannan Road is a major urban street in Shenzhen, China, running through the Huaqiangbei commercial district known for its dense electronics markets and retail centers.
  • A. Yishan Road
    Yishan Road is a Shanghai Metro interchange station serving multiple lines in the Xuhui District of Shanghai, China.
  • B. Changle Road
    Changle Road is a historic, tree-lined street in Shanghai known for its European-style architecture, boutiques, and cafés dating back to the city’s colonial era.
  • C. Zhichun Road
    Zhichun Road is a major thoroughfare in Beijing, China, known for its location in the city’s technology and education district near several universities and tech companies.
  • D. Lancun Road
    Lancun Road is a Shanghai Metro interchange station serving multiple lines in the Pudong New Area of Shanghai, China.
  • E. Hangzhong Road
    Hangzhong Road is a Shanghai Metro station that serves as a terminus on a branch of Line 10 in Shanghai, China.
  • F. None of above. chosen

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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af834fc81908cb176076de10c1c completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.