Triple

T9313637
Position Surface form Disambiguated ID Type / Status
Subject Belarusian State University E224064 entity
Predicate shortName P43 FINISHED
Object BSU
BSU is the commonly used abbreviation for Belarusian State University, a major public research university in Minsk, Belarus.
 E791362 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: BSU | Statement: [Belarusian State University, shortName, BSU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BSU
Context triple: [Belarusian State University, shortName, BSU]
  • A. BSU
    BSU is the National Rail station code for Brunstane railway station in Edinburgh, Scotland.
  • B. BSU
    BSU is the vehicle registration code assigned to the municipality of Filipów in Poland.
  • C. LBSU
    LBSU is the commonly used abbreviation for California State University, Long Beach, particularly in the context of its athletic programs.
  • D. CSU
    CSU is a conservative Christian-democratic political party operating exclusively in Bavaria and partnering federally with Germany’s Christian Democratic Union (CDU).
  • E. CSU
    CSU is the commonly used abbreviation for Central South University, a major comprehensive research university located in Changsha, Hunan, China.
  • 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: BSU
Triple: [Belarusian State University, shortName, BSU]
Generated description
BSU is the commonly used abbreviation for Belarusian State University, a major public research university in Minsk, Belarus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BSU
Target entity description: BSU is the commonly used abbreviation for Belarusian State University, a major public research university in Minsk, Belarus.
  • A. BSU
    BSU is the National Rail station code for Brunstane railway station in Edinburgh, Scotland.
  • B. BSU
    BSU is the vehicle registration code assigned to the municipality of Filipów in Poland.
  • C. LBSU
    LBSU is the commonly used abbreviation for California State University, Long Beach, particularly in the context of its athletic programs.
  • D. CSU
    CSU is a conservative Christian-democratic political party operating exclusively in Bavaria and partnering federally with Germany’s Christian Democratic Union (CDU).
  • E. CSU
    CSU is the commonly used abbreviation for Central South University, a major comprehensive research university located in Changsha, Hunan, China.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd20b048a081909fd7ec0b6b863063 completed April 1, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7a0adc4819097ac906f03f0188e completed April 4, 2026, 8:11 a.m.
NEDg Description generation batch_69d0c8a7190c819097e71c15f7924268 completed April 4, 2026, 8:15 a.m.
NED2 Entity disambiguation (via description) batch_69d0c9e7e7d08190bddc6786f0fcea9e completed April 4, 2026, 8:20 a.m.
Created at: March 30, 2026, 7:37 p.m.