Triple

T21150290
Position Surface form Disambiguated ID Type / Status
Subject Xujiahui E521168 entity
Predicate hasRoad P959 FINISHED
Object Zhaojiabang Road
Zhaojiabang Road is a major thoroughfare in Shanghai, China, known for connecting the bustling commercial hub of Xujiahui with surrounding central districts.
E1473061 NE FINISHED

How this triple was built (4 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: Zhaojiabang Road | Statement: [Xujiahui, hasRoad, Zhaojiabang Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhaojiabang Road
Context triple: [Xujiahui, hasRoad, Zhaojiabang Road]
  • A. Zhuguang Road
    Zhuguang Road is a station on Shanghai's Metro network serving Line 17 in the western part of the city.
  • B. Zhenhua Road
    Zhenhua Road is a major street running through Shenzhen’s Huaqiangbei commercial district, known for its dense concentration of electronics markets and retail activity.
  • C. Hangzhong Road
    Hangzhong Road is a Shanghai Metro station that serves as a terminus on a branch of Line 10 in Shanghai, China.
  • D. Baoqing Road
    Baoqing Road is a street in central Taipei, Taiwan, located in the vicinity of the historic Presidential Office Building and other key government and commercial areas.
  • E. Zhenxing Road
    Zhenxing Road is a major commercial thoroughfare running through Shenzhen’s Huaqiangbei electronics and shopping district.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zhaojiabang Road
Triple: [Xujiahui, hasRoad, Zhaojiabang Road]
Generated description
Zhaojiabang Road is a major thoroughfare in Shanghai, China, known for connecting the bustling commercial hub of Xujiahui with surrounding central districts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zhaojiabang Road
Target entity description: Zhaojiabang Road is a major thoroughfare in Shanghai, China, known for connecting the bustling commercial hub of Xujiahui with surrounding central districts.
  • A. Zhuguang Road
    Zhuguang Road is a station on Shanghai's Metro network serving Line 17 in the western part of the city.
  • B. Zhenhua Road
    Zhenhua Road is a major street running through Shenzhen’s Huaqiangbei commercial district, known for its dense concentration of electronics markets and retail activity.
  • C. Hangzhong Road
    Hangzhong Road is a Shanghai Metro station that serves as a terminus on a branch of Line 10 in Shanghai, China.
  • D. Baoqing Road
    Baoqing Road is a street in central Taipei, Taiwan, located in the vicinity of the historic Presidential Office Building and other key government and commercial areas.
  • E. Zhenxing Road
    Zhenxing Road is a major commercial thoroughfare running through Shenzhen’s Huaqiangbei electronics and shopping district.
  • F. None of above. chosen

Provenance (5 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72400911c8190978e88138a9bfaff completed April 21, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0986d81fc08190bdbc3350c9e82ce6 completed May 17, 2026, 9:14 a.m.
NEDg Description generation batch_6a09877c03508190ae15fc181e3cc05e completed May 17, 2026, 9:16 a.m.
NED2 Entity disambiguation (via description) batch_6a09884d294c8190911935ae7b162b1f completed May 17, 2026, 9:20 a.m.
Created at: April 16, 2026, 2:58 p.m.