Triple

T8220028
Position Surface form Disambiguated ID Type / Status
Subject Chongqing University E192033 entity
Predicate abbreviation P43 FINISHED
Object CQU
CQU is the commonly used abbreviation for Chongqing University, a major national research university located in Chongqing, China.
 E719122 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: CQU | Statement: [Chongqing University, abbreviation, CQU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CQU
Context triple: [Chongqing University, abbreviation, CQU]
  • A. CQU
    CQU is the station code for Circular Quay railway station on Sydney's suburban rail network.
  • B. UQ
    UQ is the abbreviation for the Université du Québec, a public university system comprising multiple institutions across the province of Quebec, Canada.
  • C. Central Queensland University
    Central Queensland University is a major Australian public university known for its multi-campus presence and strong focus on regional education and research.
  • D. CUW
    CUW is the three-letter ISO 3166-1 alpha-3 country code assigned to Curaçao.
  • E. The University of Queensland
    The University of Queensland is a leading Australian public research university based in Brisbane, renowned for its strong global rankings and comprehensive range of academic and professional programs.
  • 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: CQU
Triple: [Chongqing University, abbreviation, CQU]
Generated description
CQU is the commonly used abbreviation for Chongqing University, a major national research university located in Chongqing, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CQU
Target entity description: CQU is the commonly used abbreviation for Chongqing University, a major national research university located in Chongqing, China.
  • A. CQU
    CQU is the station code for Circular Quay railway station on Sydney's suburban rail network.
  • B. UQ
    UQ is the abbreviation for the Université du Québec, a public university system comprising multiple institutions across the province of Quebec, Canada.
  • C. Central Queensland University
    Central Queensland University is a major Australian public university known for its multi-campus presence and strong focus on regional education and research.
  • D. CUW
    CUW is the three-letter ISO 3166-1 alpha-3 country code assigned to Curaçao.
  • E. The University of Queensland
    The University of Queensland is a leading Australian public research university based in Brisbane, renowned for its strong global rankings and comprehensive range of academic and professional programs.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb7772b76c8190b1952650c736eb91 completed March 31, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccee01ed9c819086bfc35e89f7bad8 completed April 1, 2026, 10:05 a.m.
NEDg Description generation batch_69ccf1bbbd2481908400436e05911326 completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05eaba1c81908510a20b1ca93821 completed April 1, 2026, 11:47 a.m.
Created at: March 30, 2026, 5:45 p.m.