Triple

T19847535
Position Surface form Disambiguated ID Type / Status
Subject UWinnipeg Students' Association E476906 entity
Predicate abbreviation P43 FINISHED
Object UWSA
UWSA is the student-led organization representing and advocating for the interests and services of students at the University of Winnipeg.
 E1398885 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: UWSA | Statement: [UWinnipeg Students' Association, abbreviation, UWSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UWSA
Context triple: [UWinnipeg Students' Association, abbreviation, UWSA]
  • A. UWSG
    UWSG is the ICAO airport code assigned to Saratov Gagarin Airport in Russia.
  • B. UWSP
    UWSP is a public university in Stevens Point, Wisconsin, known for its strong programs in natural resources, education, and the arts within the University of Wisconsin System.
  • C. UWEC
    UWEC is Uganda’s national wildlife education and conservation center, known for rescuing, rehabilitating, and exhibiting native animals while promoting public awareness and environmental education.
  • D. UWA
    UWA is a regional public university in Livingston, Alabama, known for its programs in education, liberal arts, and natural sciences.
  • E. UWA
    UWA is a leading Australian public research university based in Perth, known for its strong academic programs and sandstone campus.
  • 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: UWSA
Triple: [UWinnipeg Students' Association, abbreviation, UWSA]
Generated description
UWSA is the student-led organization representing and advocating for the interests and services of students at the University of Winnipeg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UWSA
Target entity description: UWSA is the student-led organization representing and advocating for the interests and services of students at the University of Winnipeg.
  • A. UWSG
    UWSG is the ICAO airport code assigned to Saratov Gagarin Airport in Russia.
  • B. UWSP
    UWSP is a public university in Stevens Point, Wisconsin, known for its strong programs in natural resources, education, and the arts within the University of Wisconsin System.
  • C. UWEC
    UWEC is Uganda’s national wildlife education and conservation center, known for rescuing, rehabilitating, and exhibiting native animals while promoting public awareness and environmental education.
  • D. UWA
    UWA is a regional public university in Livingston, Alabama, known for its programs in education, liberal arts, and natural sciences.
  • E. UWA
    UWA is a leading Australian public research university based in Perth, known for its strong academic programs and sandstone campus.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6580ba4948190a3260f23d011cc36 completed April 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07d43eee448190ba75cb9b72227918 completed May 16, 2026, 2:19 a.m.
NEDg Description generation batch_6a07d8429d0c81908d4fdb9e41f6b9f5 completed May 16, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_6a07d8afc97c81908be6ddcaf2a6987c completed May 16, 2026, 2:38 a.m.
Created at: April 10, 2026, 1:51 p.m.