Triple

T4385842
Position Surface form Disambiguated ID Type / Status
Subject Wrocław University of Economics and Business E99239 entity
Predicate shortName P43 FINISHED
Object UEW
UEW is the commonly used abbreviation for the Wrocław University of Economics and Business, a major Polish institution specializing in economics, management, and related fields.
 E436566 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: UEW | Statement: [Wrocław University of Economics and Business, shortName, UEW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UEW
Context triple: [Wrocław University of Economics and Business, shortName, UEW]
  • A. UEP
    UEP is a leading Polish university in Poznań specializing in economics, business, and management education and research.
  • B. UEA
    UEA is the World Esperanto Association, the leading international organization dedicated to promoting and coordinating the global Esperanto movement.
  • C. UER
    UER is the French abbreviation for the European Broadcasting Union, an alliance of public service media organizations across Europe and beyond.
  • D. WÜ
    WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
  • E. UJE
    UJE is the IATA airport code for the airstrip serving Ujae Atoll in the Marshall Islands.
  • 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: UEW
Triple: [Wrocław University of Economics and Business, shortName, UEW]
Generated description
UEW is the commonly used abbreviation for the Wrocław University of Economics and Business, a major Polish institution specializing in economics, management, and related fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UEW
Target entity description: UEW is the commonly used abbreviation for the Wrocław University of Economics and Business, a major Polish institution specializing in economics, management, and related fields.
  • A. UEP
    UEP is a leading Polish university in Poznań specializing in economics, business, and management education and research.
  • B. UEA
    UEA is the World Esperanto Association, the leading international organization dedicated to promoting and coordinating the global Esperanto movement.
  • C. UER
    UER is the French abbreviation for the European Broadcasting Union, an alliance of public service media organizations across Europe and beyond.
  • D. WÜ
    WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
  • E. UJE
    UJE is the IATA airport code for the airstrip serving Ujae Atoll in the Marshall Islands.
  • 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35264e44c81908dd0e0a81f1353bb completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e526e35c8190838c59e402da3c89 completed March 14, 2026, 10:45 p.m.
NEDg Description generation batch_69b5eeaf35348190a1611f5b04baed1f completed March 14, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69b5ef5c7e0c819080b0e8914dcd6568 completed March 14, 2026, 11:29 p.m.
Created at: March 12, 2026, 11:19 p.m.