Triple

T6461778
Position Surface form Disambiguated ID Type / Status
Subject Waterloo Institute for Nanotechnology E142138 entity
Predicate abbreviation P43 FINISHED
Object WIN
WIN is a leading research institute at the University of Waterloo focused on advancing nanotechnology and its applications across science and engineering.
E594297 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: WIN | Statement: [Waterloo Institute for Nanotechnology, abbreviation, WIN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WIN
Context triple: [Waterloo Institute for Nanotechnology, abbreviation, WIN]
  • A. WIN
    WIN (Whip Inflation Now) was a 1970s U.S. public campaign launched under President Gerald Ford aimed at encouraging voluntary measures to combat inflation.
  • B. Win
    "Win" is an R&B song by American singer Brian McKnight, known for its inspirational lyrics and smooth, soulful style.
  • C. WIN button
    The WIN button was a widely distributed lapel pin used in the mid-1970s as part of U.S. President Gerald Ford’s “Whip Inflation Now” campaign to encourage public action against inflation.
  • D. WiN
    WiN was a Polish anti-communist underground organization formed after World War II to resist Soviet domination and the communist regime in Poland.
  • E. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • 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: WIN
Triple: [Waterloo Institute for Nanotechnology, abbreviation, WIN]
Generated description
WIN is a leading research institute at the University of Waterloo focused on advancing nanotechnology and its applications across science and engineering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WIN
Target entity description: WIN is a leading research institute at the University of Waterloo focused on advancing nanotechnology and its applications across science and engineering.
  • A. WIN
    WIN (Whip Inflation Now) was a 1970s U.S. public campaign launched under President Gerald Ford aimed at encouraging voluntary measures to combat inflation.
  • B. Win
    "Win" is an R&B song by American singer Brian McKnight, known for its inspirational lyrics and smooth, soulful style.
  • C. WIN button
    The WIN button was a widely distributed lapel pin used in the mid-1970s as part of U.S. President Gerald Ford’s “Whip Inflation Now” campaign to encourage public action against inflation.
  • D. WiN
    WiN was a Polish anti-communist underground organization formed after World War II to resist Soviet domination and the communist regime in Poland.
  • E. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069f683248190a58beb60f009eafb completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64be4e6888190a685f447e9950163 completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64e4413f481908561a86bc9a9b0b2 completed March 27, 2026, 9:30 a.m.
NED2 Entity disambiguation (via description) batch_69c64ec0d40881908fda2e994f0f6ed5 completed March 27, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:49 p.m.