Triple

T8077504
Position Surface form Disambiguated ID Type / Status
Subject Huangpu District, Shanghai E188528 entity
Predicate contains P35 FINISHED
Object Nanjing Road E36007 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: Nanjing Road | Statement: [Huangpu District, Shanghai, contains, Nanjing Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanjing Road
Context triple: [Huangpu District, Shanghai, contains, Nanjing Road]
  • A. Nanjing Road chosen
    Nanjing Road is one of Shanghai’s most famous and busiest commercial streets, renowned for its shopping, neon lights, and historic significance.
  • B. Huashan Road
    Huashan Road is a notable street in Shanghai’s former French Concession, known for its mix of historic architecture, embassies, universities, and cultural venues.
  • C. Chunxi Road
    Chunxi Road is a bustling commercial and pedestrian street in Chengdu, China, known for its shopping, dining, and vibrant urban atmosphere.
  • D. Chengdu Road
    Chengdu Road is a prominent thoroughfare in Taipei’s Ximending district, known for its dense concentration of shops, eateries, and entertainment venues.
  • E. Suzhou Street
    Suzhou Street is a reconstructed Qing-dynasty style commercial water town within Beijing’s Summer Palace, featuring traditional canalside shops and architecture designed to evoke the historic charm of Suzhou.
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a184488190b19ef7066f0f5057 completed March 31, 2026, 3:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93eddef48190b5f499a5b52428c8 completed April 1, 2026, 3:41 a.m.
Created at: March 30, 2026, 5:28 p.m.