Triple

T15658453
Position Surface form Disambiguated ID Type / Status
Subject Thompson Rivers University E376507 entity
Predicate abbreviation P43 FINISHED
Object TRU
TRU is a Canadian public university in Kamloops, British Columbia, offering a wide range of undergraduate, graduate, and vocational programs with a strong focus on flexible learning and applied education.
 E1170301 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: TRU | Statement: [Thompson Rivers University, abbreviation, TRU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TRU
Context triple: [Thompson Rivers University, abbreviation, TRU]
  • A. TRU
    TRU is the stock ticker symbol for TransUnion, a major American consumer credit reporting agency and data analytics company.
  • B. TRU
    TRU is the IATA airport code for Capitán FAP Carlos Martínez de Pinillos International Airport serving Trujillo, Peru.
  • C. TRU
    TRU is the National Rail station code for Truro railway station in Cornwall, England.
  • D. TRU
    TRU is a New Orleans-based hip hop group and rap collective founded by Master P that helped launch the careers of several No Limit Records artists.
  • E. Tru
    Tru is a one-man stage play in which actor Robert Morse portrays writer Truman Capote late in his life, reflecting on his fame, relationships, and decline.
  • 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: TRU
Triple: [Thompson Rivers University, abbreviation, TRU]
Generated description
TRU is a Canadian public university in Kamloops, British Columbia, offering a wide range of undergraduate, graduate, and vocational programs with a strong focus on flexible learning and applied education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TRU
Target entity description: TRU is a Canadian public university in Kamloops, British Columbia, offering a wide range of undergraduate, graduate, and vocational programs with a strong focus on flexible learning and applied education.
  • A. TRU
    TRU is the stock ticker symbol for TransUnion, a major American consumer credit reporting agency and data analytics company.
  • B. TRU
    TRU is the IATA airport code for Capitán FAP Carlos Martínez de Pinillos International Airport serving Trujillo, Peru.
  • C. TRU
    TRU is the National Rail station code for Truro railway station in Cornwall, England.
  • D. TRU
    TRU is a New Orleans-based hip hop group and rap collective founded by Master P that helped launch the careers of several No Limit Records artists.
  • E. Tru
    Tru is a one-man stage play in which actor Robert Morse portrays writer Truman Capote late in his life, reflecting on his fame, relationships, and decline.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef3cb8c8190a10815b675b341c1 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679bb7f0819092a98c2981bc9267 completed May 9, 2026, 4:58 p.m.
NEDg Description generation batch_69ff68a1b374819089dc6fe1f252cc0f completed May 9, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff698bf6a481908d326451232a8cbb completed May 9, 2026, 5:06 p.m.
Created at: April 10, 2026, 4:15 a.m.