Triple

T5745107
Position Surface form Disambiguated ID Type / Status
Subject William Peace University E126711 entity
Predicate abbreviation P43 FINISHED
Object WPU
WPU is a private liberal arts university located in Raleigh, North Carolina, known for its small class sizes and career-focused undergraduate programs.
 E546103 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: WPU | Statement: [William Peace University, abbreviation, WPU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WPU
Context triple: [William Peace University, abbreviation, WPU]
  • A. WPU
    WPU is the IATA airport code for Guardiamarina Zañartu Airport, a small regional airport serving Puerto Williams in southern Chile.
  • B. WU
    WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
  • C. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • D. WUN
    WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
  • E. WUN
    WUN is a global consortium of research-intensive universities that collaborate on international education and research initiatives.
  • 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: WPU
Triple: [William Peace University, abbreviation, WPU]
Generated description
WPU is a private liberal arts university located in Raleigh, North Carolina, known for its small class sizes and career-focused undergraduate programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WPU
Target entity description: WPU is a private liberal arts university located in Raleigh, North Carolina, known for its small class sizes and career-focused undergraduate programs.
  • A. WPU
    WPU is the IATA airport code for Guardiamarina Zañartu Airport, a small regional airport serving Puerto Williams in southern Chile.
  • B. WU
    WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
  • C. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • D. WUN
    WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
  • E. WUN
    WUN is a global consortium of research-intensive universities that collaborate on international education and research initiatives.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025883b608190b21523da2afde218 completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e27ba848190b0c289a804b865cd completed March 22, 2026, 11:41 p.m.
NEDg Description generation batch_69c08d9d479c8190a18f190dcfcadba2 completed March 23, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_69c08e3b05a881909892ce776309920d completed March 23, 2026, 12:50 a.m.
Created at: March 22, 2026, 3:48 p.m.