Triple

T9876282
Position Surface form Disambiguated ID Type / Status
Subject Brno University of Technology E240080 entity
Predicate shortName P43 FINISHED
Object BUT
BUT is the commonly used abbreviation for Brno University of Technology, a major technical university located in Brno, Czech Republic.
E826493 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: BUT | Statement: [Brno University of Technology, shortName, BUT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BUT
Context triple: [Brno University of Technology, shortName, BUT]
  • A. BU
    BU is a major private research university in Boston, Massachusetts, known for its diverse academic programs and global student body.
  • B. BU
    BU is a historic vehicle registration prefix that was once used to identify motor vehicles registered in Buckinghamshire, England.
  • C. BU
    BU is a modern public university located in Bournemouth, England, known for its strong industry links and career-focused courses, particularly in media, business, and tourism.
  • D. BU
    BU is a public university located in Bhopal, Madhya Pradesh, India, offering a wide range of undergraduate, postgraduate, and research programs across various disciplines.
  • E. BU
    BU is a private university in Peoria, Illinois, known for its comprehensive academic programs and strong emphasis on experiential learning.
  • 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: BUT
Triple: [Brno University of Technology, shortName, BUT]
Generated description
BUT is the commonly used abbreviation for Brno University of Technology, a major technical university located in Brno, Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BUT
Target entity description: BUT is the commonly used abbreviation for Brno University of Technology, a major technical university located in Brno, Czech Republic.
  • A. BU
    BU is a major private research university in Boston, Massachusetts, known for its diverse academic programs and global student body.
  • B. BU
    BU is a historic vehicle registration prefix that was once used to identify motor vehicles registered in Buckinghamshire, England.
  • C. BU
    BU is a modern public university located in Bournemouth, England, known for its strong industry links and career-focused courses, particularly in media, business, and tourism.
  • D. BU
    BU is a public university located in Bhopal, Madhya Pradesh, India, offering a wide range of undergraduate, postgraduate, and research programs across various disciplines.
  • E. BU
    BU is a private university in Peoria, Illinois, known for its comprehensive academic programs and strong emphasis on experiential learning.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3fb58d481908407898912c4b4e9 completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e47b62388190a033743376500375 completed April 5, 2026, 4:26 a.m.
NEDg Description generation batch_69d1e5d0da7081908e14fe4bc6623ea5 completed April 5, 2026, 4:32 a.m.
NED2 Entity disambiguation (via description) batch_69d1e6af89f88190abe63f8172182f58 completed April 5, 2026, 4:35 a.m.
Created at: March 30, 2026, 8:37 p.m.