Triple

T11714568
Position Surface form Disambiguated ID Type / Status
Subject Matej Bel University E278458 entity
Predicate abbreviation P43 FINISHED
Object UMB
UMB is the commonly used abbreviation for Matej Bel University, a public higher education institution in Banská Bystrica, Slovakia.
 E942575 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: UMB | Statement: [Matej Bel University, abbreviation, UMB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UMB
Context triple: [Matej Bel University, abbreviation, UMB]
  • A. UMB
    UMB is a public research university located on the waterfront in Boston, Massachusetts, known for its diverse student body and strong programs in liberal arts, sciences, and professional studies.
  • B. UMB
    UMB is the Indian Railways station code for Ambala Cantonment, a major railway junction in Haryana, India.
  • C. UM
    UM is the IATA airline designator assigned to Air Zimbabwe, the national carrier of Zimbabwe.
  • D. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • E. UM
    UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
  • 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: UMB
Triple: [Matej Bel University, abbreviation, UMB]
Generated description
UMB is the commonly used abbreviation for Matej Bel University, a public higher education institution in Banská Bystrica, Slovakia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UMB
Target entity description: UMB is the commonly used abbreviation for Matej Bel University, a public higher education institution in Banská Bystrica, Slovakia.
  • A. UMB
    UMB is a public research university located on the waterfront in Boston, Massachusetts, known for its diverse student body and strong programs in liberal arts, sciences, and professional studies.
  • B. UMB
    UMB is the Indian Railways station code for Ambala Cantonment, a major railway junction in Haryana, India.
  • C. UM
    UM is the IATA airline designator assigned to Air Zimbabwe, the national carrier of Zimbabwe.
  • D. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • E. UM
    UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4bf54d88190a8e07fbbf8d9e962 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef8397a4ac8190a71dfdd53bfa168a completed April 27, 2026, 3:41 p.m.
NEDg Description generation batch_69ef96b0169081909ad5c5d40a006e64 completed April 27, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69efb4dad6a481909a54511b6233993b completed April 27, 2026, 7:11 p.m.
Created at: April 8, 2026, 9:40 p.m.