Triple

T1650425
Position Surface form Disambiguated ID Type / Status
Subject Guangzhou Metro E35677 entity
Predicate hasStation P35 FINISHED
Object Wanshengwei Station
Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
 E201951 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: Wanshengwei Station | Statement: [Guangzhou Metro, hasStation, Wanshengwei Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wanshengwei Station
Context triple: [Guangzhou Metro, hasStation, Wanshengwei Station]
  • A. Guomao station
    Guomao station is a major interchange hub on the Beijing Subway, serving the central business district and connecting key metro lines.
  • B. Zhichunlu station
    Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
  • C. Songjiazhuang station
    Songjiazhuang station is a major interchange hub in the Beijing Subway network, serving multiple lines in the southern part of the city.
  • D. Pingguoyuan station
    Pingguoyuan station is a major western terminus and interchange station on the Beijing Subway serving the Shijingshan District of Beijing, China.
  • E. Tiananmen West station
    Tiananmen West station is a Beijing Subway station serving the western side of Tiananmen Square in central Beijing, China.
  • 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: Wanshengwei Station
Triple: [Guangzhou Metro, hasStation, Wanshengwei Station]
Generated description
Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wanshengwei Station
Target entity description: Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
  • A. Guomao station
    Guomao station is a major interchange hub on the Beijing Subway, serving the central business district and connecting key metro lines.
  • B. Zhichunlu station
    Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
  • C. Songjiazhuang station
    Songjiazhuang station is a major interchange hub in the Beijing Subway network, serving multiple lines in the southern part of the city.
  • D. Pingguoyuan station
    Pingguoyuan station is a major western terminus and interchange station on the Beijing Subway serving the Shijingshan District of Beijing, China.
  • E. Tiananmen West station
    Tiananmen West station is a Beijing Subway station serving the western side of Tiananmen Square in central Beijing, China.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a66b58c819082d38ef1c805cf44 completed March 5, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5b7247c81909224f04af68c3a5d completed March 8, 2026, 5:45 p.m.
NEDg Description generation batch_69adb8b2b01c8190997179cdfd55da13 completed March 8, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69adb94aaf348190a28ca8e9d9cacf41 completed March 8, 2026, 6 p.m.
Created at: March 4, 2026, 7:29 p.m.