Triple

T22441737
Position Surface form Disambiguated ID Type / Status
Subject Chunxi Road commercial district E554768 entity
Predicate hasPart P35 FINISHED
Object Chunxi 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: Chunxi Road | Statement: [Chunxi Road commercial district, hasPart, Chunxi Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chunxi Road
Context triple: [Chunxi Road commercial district, hasPart, Chunxi Road]
  • A. Chunxi Road chosen
    Chunxi Road is a bustling commercial and pedestrian street in Chengdu, China, known for its shopping, dining, and vibrant urban atmosphere.
  • 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. 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.
  • D. Hongqiao Road
    Hongqiao Road is a major transport hub and interchange station in Shanghai’s metro network, serving multiple lines and providing access to the busy Hongqiao commercial and residential area.
  • E. Zhongshan South Road
    Zhongshan South Road is a major thoroughfare in central Taipei, Taiwan, known for running past key government buildings and important civic landmarks.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae2f7608190b1c1e8bd12ca2162 completed April 29, 2026, 1:12 a.m.
Created at: April 16, 2026, 8:47 p.m.