Triple

T9929362
Position Surface form Disambiguated ID Type / Status
Subject Chongqing University of Posts and Telecommunications E192603 entity
Predicate abbreviation P43 FINISHED
Object CQUPT
CQUPT is a Chinese public university in Chongqing specializing in information and communications engineering, computer science, and related technological disciplines.
 E829240 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: CQUPT | Statement: [Chongqing University of Posts and Telecommunications, abbreviation, CQUPT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CQUPT
Context triple: [Chongqing University of Posts and Telecommunications, abbreviation, CQUPT]
  • A. CQU
    CQU is the station code for Circular Quay railway station on Sydney's suburban rail network.
  • B. CQU
    CQU is the commonly used abbreviation for Chongqing University, a major national research university located in Chongqing, China.
  • C. HUST
    HUST is a leading Vietnamese technical university renowned for its engineering, science, and technology education and research.
  • D. SCUT
    SCUT is a major public research university in Guangzhou, China, known for its strong engineering, technology, and applied science programs.
  • E. CSUST
    CSUST is a Chinese university in Changsha, Hunan, specializing in science, engineering, and technology disciplines.
  • 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: CQUPT
Triple: [Chongqing University of Posts and Telecommunications, abbreviation, CQUPT]
Generated description
CQUPT is a Chinese public university in Chongqing specializing in information and communications engineering, computer science, and related technological disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CQUPT
Target entity description: CQUPT is a Chinese public university in Chongqing specializing in information and communications engineering, computer science, and related technological disciplines.
  • A. CQU
    CQU is the station code for Circular Quay railway station on Sydney's suburban rail network.
  • B. CQU
    CQU is the commonly used abbreviation for Chongqing University, a major national research university located in Chongqing, China.
  • C. HUST
    HUST is a leading Vietnamese technical university renowned for its engineering, science, and technology education and research.
  • D. SCUT
    SCUT is a major public research university in Guangzhou, China, known for its strong engineering, technology, and applied science programs.
  • E. CSUST
    CSUST is a Chinese university in Changsha, Hunan, specializing in science, engineering, and technology disciplines.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5b215c481909e0bca43f158bd82 completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20e258e888190ae4e2abac80e3399 completed April 5, 2026, 7:24 a.m.
NEDg Description generation batch_69d21229a1188190899df0d8d7f78a7d completed April 5, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_69d212a46ee48190aa629a189dee531d completed April 5, 2026, 7:43 a.m.
Created at: March 30, 2026, 8:43 p.m.