Triple

T10965902
Position Surface form Disambiguated ID Type / Status
Subject University of Kansas School of Medicine E259095 entity
Predicate abbreviation P43 FINISHED
Object KUSOM
KUSOM is the medical school of the University of Kansas, offering medical education, research, and clinical training across multiple campuses in the state.
 E897330 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: KUSOM | Statement: [University of Kansas School of Medicine, abbreviation, KUSOM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KUSOM
Context triple: [University of Kansas School of Medicine, abbreviation, KUSOM]
  • A. KSUS
    KSUS is the ICAO airport code for Spirit of St. Louis Airport, a public airport serving the St. Louis metropolitan area in Missouri, United States.
  • B. KOS
    KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • C. KOS
    KOS is the three-letter International Olympic Committee country code representing Kosovo in Olympic competitions.
  • D. Kuso
    Kuso is a surreal, experimental horror-comedy film directed by musician and filmmaker Flying Lotus, known for its grotesque imagery and fragmented, post-apocalyptic narrative.
  • E. SÖM
    SÖM is the vehicle registration code for the Sömmerda district in the German state of Thuringia.
  • 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: KUSOM
Triple: [University of Kansas School of Medicine, abbreviation, KUSOM]
Generated description
KUSOM is the medical school of the University of Kansas, offering medical education, research, and clinical training across multiple campuses in the state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KUSOM
Target entity description: KUSOM is the medical school of the University of Kansas, offering medical education, research, and clinical training across multiple campuses in the state.
  • A. KSUS
    KSUS is the ICAO airport code for Spirit of St. Louis Airport, a public airport serving the St. Louis metropolitan area in Missouri, United States.
  • B. KOS
    KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • C. KOS
    KOS is the three-letter International Olympic Committee country code representing Kosovo in Olympic competitions.
  • D. Kuso
    Kuso is a surreal, experimental horror-comedy film directed by musician and filmmaker Flying Lotus, known for its grotesque imagery and fragmented, post-apocalyptic narrative.
  • E. SÖM
    SÖM is the vehicle registration code for the Sömmerda district in the German state of Thuringia.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77149c0448190a66322fa696fdbda completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d77277108190979f1b1edeac8964 completed April 18, 2026, 12:59 a.m.
NEDg Description generation batch_69e2ff1ffb8c8190ba97f3c2e3c8c601 completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e3261cc4f48190ba0e5645f37cd4b5 completed April 18, 2026, 6:35 a.m.
Created at: April 8, 2026, 9:24 p.m.