Triple

T1650454
Position Surface form Disambiguated ID Type / Status
Subject Guangzhou Metro E35677 entity
Predicate hasDepot P2413 FINISHED
Object Wanshengwei Depot
Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
 E207071 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 Depot | Statement: [Guangzhou Metro, hasDepot, Wanshengwei Depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wanshengwei Depot
Context triple: [Guangzhou Metro, hasDepot, Wanshengwei Depot]
  • A. Xilang Depot
    Xilang Depot is a maintenance and storage facility serving the Guangzhou Metro system in Guangzhou, China.
  • B. Jiahewanggang Depot
    Jiahewanggang Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
  • C. Wanshengwei Station
    Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
  • D. Songjiazhuang station
    Songjiazhuang station is a major interchange hub in the Beijing Subway network, serving multiple lines in the southern part of the city.
  • E. Guomao station
    Guomao station is a major interchange hub on the Beijing Subway, serving the central business district and connecting key metro lines.
  • 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 Depot
Triple: [Guangzhou Metro, hasDepot, Wanshengwei Depot]
Generated description
Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wanshengwei Depot
Target entity description: Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
  • A. Xilang Depot
    Xilang Depot is a maintenance and storage facility serving the Guangzhou Metro system in Guangzhou, China.
  • B. Jiahewanggang Depot
    Jiahewanggang Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
  • C. Wanshengwei Station
    Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
  • D. Songjiazhuang station
    Songjiazhuang station is a major interchange hub in the Beijing Subway network, serving multiple lines in the southern part of the city.
  • E. Guomao station
    Guomao station is a major interchange hub on the Beijing Subway, serving the central business district and connecting key metro lines.
  • 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_69adc98fb2288190aeae9e48c146658f completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcb3817ac8190b8a58976a5b515a0 completed March 8, 2026, 7:17 p.m.
NED2 Entity disambiguation (via description) batch_69adce7c1f9c819095214cc90c01c8ff completed March 8, 2026, 7:31 p.m.
Created at: March 4, 2026, 7:29 p.m.