Triple

T20159411
Position Surface form Disambiguated ID Type / Status
Subject University of Maribor E491662 entity
Predicate abbreviation P43 FINISHED
Object UM
UM is the commonly used abbreviation for the University of Maribor, a major public university in Slovenia.
 E1415526 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: UM | Statement: [University of Maribor, abbreviation, UM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UM
Context triple: [University of Maribor, abbreviation, UM]
  • A. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • B. UM
    UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
  • C. UM
    UM is the stock ticker symbol for MRU, the Canadian food and pharmacy retail company Metro Inc.
  • D. UM
    UM is a public research university in Oxford, Mississippi, commonly known as "Ole Miss" and recognized for its academic programs and SEC athletics.
  • E. UM
    UM is the commonly used abbreviation for Universitas Negeri Malang, a public university in Malang, Indonesia known for its strong focus on education and teacher training.
  • 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: UM
Triple: [University of Maribor, abbreviation, UM]
Generated description
UM is the commonly used abbreviation for the University of Maribor, a major public university in Slovenia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UM
Target entity description: UM is the commonly used abbreviation for the University of Maribor, a major public university in Slovenia.
  • A. UM
    UM is the commonly used abbreviation for Maastricht University, a public research university located in Maastricht, the Netherlands.
  • B. UM
    UM is the commonly used abbreviation for Universitas Negeri Malang, a public university in Malang, Indonesia known for its strong focus on education and teacher training.
  • C. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • D. UM
    UM is the commonly used abbreviation for Finland’s Ministry for Foreign Affairs, the government body responsible for the country’s foreign policy and diplomatic relations.
  • E. UM
    UM is a public research university in Winnipeg, Canada, known as the University of Manitoba.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e37c8c8190827839291027d9e2 completed April 20, 2026, 5:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a083478c328819094ecdf00149a17b6 completed May 16, 2026, 9:10 a.m.
NEDg Description generation batch_6a0838867cb081908580ab9594653018 completed May 16, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_6a083965207c8190babe799e5d45f913 completed May 16, 2026, 9:31 a.m.
Created at: April 11, 2026, 11:34 p.m.