Triple

T6938002
Position Surface form Disambiguated ID Type / Status
Subject University of Bucharest E160600 entity
Predicate abbreviation P43 FINISHED
Object UB
UB is a major public research university in Romania’s capital, known for its wide range of academic programs and significant contribution to higher education and research in Eastern Europe.
 E630865 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: UB | Statement: [University of Bucharest, abbreviation, UB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UB
Context triple: [University of Bucharest, abbreviation, UB]
  • A. UB
    UB was the common abbreviation for the Urząd Bezpieczeństwa, the communist-era Polish secret police and security service notorious for political repression after World War II.
  • B. UB
    UB is the commonly used abbreviation for the University of Barcelona, a major public research university located in Barcelona, Spain.
  • C. UB
    UB is the commonly used abbreviation for Universitas Brawijaya, a major public university in Indonesia.
  • D. UB
    UB is a postcode area in the United Kingdom covering parts of west London and nearby areas.
  • E. 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.
  • 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: UB
Triple: [University of Bucharest, abbreviation, UB]
Generated description
UB is a major public research university in Romania’s capital, known for its wide range of academic programs and significant contribution to higher education and research in Eastern Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UB
Target entity description: UB is a major public research university in Romania’s capital, known for its wide range of academic programs and significant contribution to higher education and research in Eastern Europe.
  • A. UB
    UB was the common abbreviation for the Urząd Bezpieczeństwa, the communist-era Polish secret police and security service notorious for political repression after World War II.
  • B. UB
    UB is the commonly used abbreviation for the University of Barcelona, a major public research university located in Barcelona, Spain.
  • C. UB
    UB is a postcode area in the United Kingdom covering parts of west London and nearby areas.
  • D. UB
    UB is the commonly used abbreviation for Universitas Brawijaya, a major public university in Indonesia.
  • E. 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.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da606328819095eb852f7a0842dc completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75861cd548190a215d616b68101d9 completed March 28, 2026, 4:26 a.m.
NEDg Description generation batch_69c759b6e0b48190a29c151bb3ce5165 completed March 28, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_69c759fc5ea88190837bed8ab37a920b completed March 28, 2026, 4:33 a.m.
Created at: March 27, 2026, 2:28 p.m.