Triple

T22729802
Position Surface form Disambiguated ID Type / Status
Subject Jianghan Road Station E562101 entity
Predicate locatedOnStreet P959 FINISHED
Object Jianghan Road 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: Jianghan Road | Statement: [Jianghan Road Station, locatedOnStreet, Jianghan Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jianghan Road
Context triple: [Jianghan Road Station, locatedOnStreet, Jianghan Road]
  • A. Jianghan Road chosen
    Jianghan Road is a renowned commercial pedestrian street in Wuhan, China, known for its historic architecture, shopping, and vibrant urban atmosphere.
  • B. Changjiang South Road
    Changjiang South Road is a metro station in Shanghai, China, serving as a terminus on the city’s urban rail network.
  • C. Jinshajiang Road
    Jinshajiang Road is a major interchange station in the Shanghai Metro system, serving multiple lines in the Putuo District of Shanghai, China.
  • D. Kongjiang Road
    Kongjiang Road is a street located in Shanghai’s Yangpu District, known for its mix of residential neighborhoods, local commerce, and access to public transportation.
  • E. Jintian Road
    Jintian Road is a major street in Shenzhen, China, situated in the Futian central business district and served by the Convention & Exhibition Center metro station.
  • 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1792be7d88190b6d7d79041fcba25 completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:21 p.m.