Triple

T815504
Position Surface form Disambiguated ID Type / Status
Subject Bologna Follow-Up Group E17644 entity
Predicate hasAbbreviation P43 FINISHED
Object BFUG
BFUG is the main coordinating body responsible for overseeing and supporting the implementation and development of the Bologna Process in European higher education.
 E96197 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: BFUG | Statement: [Bologna Follow-Up Group, hasAbbreviation, BFUG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BFUG
Context triple: [Bologna Follow-Up Group, hasAbbreviation, BFUG]
  • A. BF
    BF is the IATA airline designator for French Bee, a French low-cost long-haul carrier.
  • B. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • C. Bf
    Bf is the aircraft designation prefix historically used for military aircraft designed or built by the German manufacturer Bayerische Flugzeugwerke, notably including early Messerschmitt fighters.
  • D. FBU
    FBU is the ICAO airline designator assigned to French Bee, a French low-cost long-haul carrier.
  • E. BOG
    BOG is the IATA airport code for El Dorado International Airport, the main international gateway serving Bogotá, Colombia.
  • 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: BFUG
Triple: [Bologna Follow-Up Group, hasAbbreviation, BFUG]
Generated description
BFUG is the main coordinating body responsible for overseeing and supporting the implementation and development of the Bologna Process in European higher education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BFUG
Target entity description: BFUG is the main coordinating body responsible for overseeing and supporting the implementation and development of the Bologna Process in European higher education.
  • A. BF
    BF is the IATA airline designator for French Bee, a French low-cost long-haul carrier.
  • B. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • C. Bf
    Bf is the aircraft designation prefix historically used for military aircraft designed or built by the German manufacturer Bayerische Flugzeugwerke, notably including early Messerschmitt fighters.
  • D. FBU
    FBU is the ICAO airline designator assigned to French Bee, a French low-cost long-haul carrier.
  • E. BOG
    BOG is the IATA airport code for El Dorado International Airport, the main international gateway serving Bogotá, Colombia.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab5157b08190b6c8f2fd455f261e completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d8b0b0c8190a6226d6b8daade25 completed March 3, 2026, 11:23 p.m.
NEDg Description generation batch_69a782eda49c8190bdaf4fb8db685071 completed March 4, 2026, 12:55 a.m.
NED2 Entity disambiguation (via description) batch_69a784f6eee48190a348008b931d545b completed March 4, 2026, 1:03 a.m.
Created at: March 1, 2026, 7:38 p.m.