Triple

T1943759
Position Surface form Disambiguated ID Type / Status
Subject Puxi E42014 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: [Puxi, contains, Nanjing Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanjing Road
Context triple: [Puxi, 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. 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.
  • E. Zhongshan Road
    Zhongshan Road is the historic waterfront thoroughfare in Shanghai that runs along the Bund, lined with iconic colonial-era buildings and views of the Huangpu River.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb2fe04688190aa8461ba090c93a0 completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5173b2188190bfb492c73a1bba06 completed March 9, 2026, 4:49 a.m.
Created at: March 4, 2026, 7:36 p.m.