Triple

T15861007
Position Surface form Disambiguated ID Type / Status
Subject Bern University of Applied Sciences E384584 entity
Predicate shortName P43 FINISHED
Object BFH
BFH is the abbreviation for the Bern University of Applied Sciences, a Swiss institution offering practice-oriented higher education and research across various disciplines.
 E1182129 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: BFH | Statement: [Bern University of Applied Sciences, shortName, BFH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BFH
Context triple: [Bern University of Applied Sciences, shortName, BFH]
  • A. BFH
    BFH is the abbreviation for Germany’s Federal Fiscal Court, the highest court for tax and customs law matters in the country.
  • B. BF
    BF is the IATA airline designator for French Bee, a French low-cost long-haul carrier.
  • C. BF
    BF is the two-letter ISO 3166-1 alpha-2 country code assigned to Burkina Faso.
  • D. BFJ
    BFJ is the Baseball Federation of Japan, the national governing body that oversees and promotes baseball activities and competitions throughout Japan.
  • E. BFU
    BFU is the commonly used abbreviation for Burgas Free University, a higher education institution located in Burgas, Bulgaria.
  • 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: BFH
Triple: [Bern University of Applied Sciences, shortName, BFH]
Generated description
BFH is the abbreviation for the Bern University of Applied Sciences, a Swiss institution offering practice-oriented higher education and research across various disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BFH
Target entity description: BFH is the abbreviation for the Bern University of Applied Sciences, a Swiss institution offering practice-oriented higher education and research across various disciplines.
  • A. BFH
    BFH is the abbreviation for Germany’s Federal Fiscal Court, the highest court for tax and customs law matters in the country.
  • B. BF
    BF is the IATA airline designator for French Bee, a French low-cost long-haul carrier.
  • C. BF
    BF is the two-letter ISO 3166-1 alpha-2 country code assigned to Burkina Faso.
  • D. BFJ
    BFJ is the Baseball Federation of Japan, the national governing body that oversees and promotes baseball activities and competitions throughout Japan.
  • E. BFU
    BFU is the commonly used abbreviation for Burgas Free University, a higher education institution located in Burgas, Bulgaria.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555b952481909246f5ebf53df2a9 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa941a0a481909c8d8e98861b46d6 completed May 9, 2026, 9:38 p.m.
NEDg Description generation batch_69ffabfc0e34819083ff8608c72bc9a6 completed May 9, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69ffac6a251481909e56491d6c2cc476 completed May 9, 2026, 9:51 p.m.
Created at: April 10, 2026, 4:50 a.m.