Triple

T15641549
Position Surface form Disambiguated ID Type / Status
Subject Ted Rogers School of Management E376076 entity
Predicate abbreviation P43 FINISHED
Object TRSM
TRSM is the Ted Rogers School of Management, a major business school at Toronto Metropolitan University in Toronto, Canada.
 E1168534 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: TRSM | Statement: [Ted Rogers School of Management, abbreviation, TRSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TRSM
Context triple: [Ted Rogers School of Management, abbreviation, TRSM]
  • A. TRM
    TRM is the IATA airport code for Jacqueline Cochran Regional Airport serving the Thermal, California area.
  • B. MTRX
    MTRX is a Swedish private train operator that runs high-speed passenger services, primarily on the Stockholm–Gothenburg route.
  • C. TRN
    TRN is the IATA airport code for Turin Airport, the main international airport serving Turin in northern Italy.
  • D. SymTridiagonal
    SymTridiagonal is a Julia type representing a symmetric tridiagonal matrix optimized for efficient storage and linear algebra operations.
  • E. TRAM
    TRAM is the public tramway operator that manages several modern light rail lines in the Barcelona metropolitan area.
  • 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: TRSM
Triple: [Ted Rogers School of Management, abbreviation, TRSM]
Generated description
TRSM is the Ted Rogers School of Management, a major business school at Toronto Metropolitan University in Toronto, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TRSM
Target entity description: TRSM is the Ted Rogers School of Management, a major business school at Toronto Metropolitan University in Toronto, Canada.
  • A. TRM
    TRM is the IATA airport code for Jacqueline Cochran Regional Airport serving the Thermal, California area.
  • B. MTRX
    MTRX is a Swedish private train operator that runs high-speed passenger services, primarily on the Stockholm–Gothenburg route.
  • C. TRN
    TRN is the IATA airport code for Turin Airport, the main international airport serving Turin in northern Italy.
  • D. SymTridiagonal
    SymTridiagonal is a Julia type representing a symmetric tridiagonal matrix optimized for efficient storage and linear algebra operations.
  • E. TRAM
    TRAM is the public tramway operator that manages several modern light rail lines in the Barcelona metropolitan area.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed23d688190bea996f90989d406 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f4b693c81908fd324a5e92fc23c completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff612f54a48190a392a3712db4c907 completed May 9, 2026, 4:30 p.m.
NED2 Entity disambiguation (via description) batch_69ff61fbcad481908af89369458b23ca completed May 9, 2026, 4:34 p.m.
Created at: April 10, 2026, 4:15 a.m.