Triple

T1665632
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Municipal People’s Government E36005 entity
Predicate hasDeputyOfficeholderTitle P3256 FINISHED
Object Vice Mayor of Shanghai
The Vice Mayor of Shanghai is a senior municipal government official who assists the Mayor in administering and overseeing the city’s executive affairs and policy implementation.
E188518 NE FINISHED

How this triple was built (5 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: Vice Mayor of Shanghai | Statement: [Shanghai Municipal People’s Government, hasDeputyOfficeholderTitle, Vice Mayor of Shanghai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vice Mayor of Shanghai
Context triple: [Shanghai Municipal People’s Government, hasDeputyOfficeholderTitle, Vice Mayor of Shanghai]
  • A. Mayor of Shanghai
    The Mayor of Shanghai is the head of the municipal government of Shanghai, responsible for overseeing the city’s administration, economic development, and implementation of local policies under China’s political system.
  • B. Mayor of Tianjin
    The Mayor of Tianjin is the chief executive official of the Tianjin municipal government, responsible for overseeing the city's administration, economic development, and public services under China's political system.
  • C. Mayor of Shenzhen
    The Mayor of Shenzhen is the chief executive of the Shenzhen municipal government, overseeing the city’s administration, economic development, and implementation of local and national policies.
  • D. Mayor of Taipei
    The Mayor of Taipei is the elected head of the Taipei City Government, responsible for overseeing municipal administration, public policy, and urban development in Taiwan’s capital city.
  • E. Mayor of Sumida
    The Mayor of Sumida is the chief executive official responsible for leading the local government and administration of Sumida Ward in Tokyo, Japan.
  • 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: Vice Mayor of Shanghai
Triple: [Shanghai Municipal People’s Government, hasDeputyOfficeholderTitle, Vice Mayor of Shanghai]
Generated description
The Vice Mayor of Shanghai is a senior municipal government official who assists the Mayor in administering and overseeing the city’s executive affairs and policy implementation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vice Mayor of Shanghai
Target entity description: The Vice Mayor of Shanghai is a senior municipal government official who assists the Mayor in administering and overseeing the city’s executive affairs and policy implementation.
  • A. Mayor of Shanghai
    The Mayor of Shanghai is the head of the municipal government of Shanghai, responsible for overseeing the city’s administration, economic development, and implementation of local policies under China’s political system.
  • B. Mayor of Tianjin
    The Mayor of Tianjin is the chief executive official of the Tianjin municipal government, responsible for overseeing the city's administration, economic development, and public services under China's political system.
  • C. Mayor of Shenzhen
    The Mayor of Shenzhen is the chief executive of the Shenzhen municipal government, overseeing the city’s administration, economic development, and implementation of local and national policies.
  • D. Mayor of Taipei
    The Mayor of Taipei is the elected head of the Taipei City Government, responsible for overseeing municipal administration, public policy, and urban development in Taiwan’s capital city.
  • E. Mayor of Sumida
    The Mayor of Sumida is the chief executive official responsible for leading the local government and administration of Sumida Ward in Tokyo, Japan.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDeputyOfficeholderTitle
Context triple: [Shanghai Municipal People’s Government, hasDeputyOfficeholderTitle, Vice Mayor of Shanghai]
  • A. hasDeputyLeaderTitle chosen
    Indicates that an entity holds a specific title associated with the role of deputy leader.
  • B. deputyOf
    Indicates that one entity serves as the subordinate or second-in-command to another, acting with delegated authority on their behalf.
  • C. alsoHoldsOfficeOf
    Indicates that an entity currently holding one office or position simultaneously holds another office or position as well.
  • D. hasMinisterTitle
    Indicates that an entity holds or is associated with a specific ministerial title or office.
  • E. hasViceChairTitle
    Indicates that an entity holds the position or bears the formal title of vice chair in relation to another entity or organization.
  • F. None of above.

Provenance (6 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa994f92b0819084ee2f6a672334b9 completed March 6, 2026, 9:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad682fd42881908ecd0f331e81aba8 completed March 8, 2026, 12:14 p.m.
NEDg Description generation batch_69ad69c8af5481909d73d90e1dcaf560 completed March 8, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_69ad6a4aebb88190a27350216add031b completed March 8, 2026, 12:23 p.m.
PD Predicate disambiguation batch_69a907d2475c8190b7ec7dccd3335eb1 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:29 p.m.