Triple

T18548268
Position Surface form Disambiguated ID Type / Status
Subject University of Burgundy E453294 entity
Predicate shortName P43 FINISHED
Object uB
uB is the commonly used abbreviation for the University of Burgundy, a public university located in Dijon, France.
 E1330564 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 Burgundy, shortName, uB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: uB
Context triple: [University of Burgundy, shortName, uB]
  • A. UbU
    UbU is the commonly used abbreviation for the Swedish Riksdag’s Committee on Education, which handles national education and research policy matters.
  • B. UwB
    UwB is the commonly used abbreviation for the University of Białystok, a public higher education institution in northeastern Poland.
  • C. UB1
    UB1 is a UK postcode district in the Southall area of west London, covering a largely residential and multicultural community.
  • D. 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.
  • E. UB
    UB is the commonly used abbreviation for Universitas Brawijaya, a major public university in Indonesia.
  • 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 Burgundy, shortName, uB]
Generated description
uB is the commonly used abbreviation for the University of Burgundy, a public university located in Dijon, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: uB
Target entity description: uB is the commonly used abbreviation for the University of Burgundy, a public university located in Dijon, France.
  • A. UbU
    UbU is the commonly used abbreviation for the Swedish Riksdag’s Committee on Education, which handles national education and research policy matters.
  • B. UwB
    UwB is the commonly used abbreviation for the University of Białystok, a public higher education institution in northeastern Poland.
  • C. UB1
    UB1 is a UK postcode district in the Southall area of west London, covering a largely residential and multicultural community.
  • D. 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.
  • E. UB
    UB is the commonly used abbreviation for the University at Buffalo, a major public research university in the State University of New York (SUNY) system.
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534be2298819095f637065fc2724e completed April 19, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a049add8acc8190b00aeae2555ca593 completed May 13, 2026, 3:38 p.m.
NEDg Description generation batch_6a049bf32520819091b9deaba331f9ca completed May 13, 2026, 3:42 p.m.
NED2 Entity disambiguation (via description) batch_6a049ccb59108190870c11bd11949f3b completed May 13, 2026, 3:46 p.m.
Created at: April 10, 2026, 11:38 a.m.