Triple

T11294521
Position Surface form Disambiguated ID Type / Status
Subject Danish trade unions E267415 entity
Predicate include P1393 FINISHED
Object BUPL
BUPL is a Danish trade union representing early childhood educators and pedagogical staff.
 E917698 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: BUPL | Statement: [Danish trade unions, include, BUPL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BUPL
Context triple: [Danish trade unions, include, BUPL]
  • A. BUL
    BUL is the three-letter International Olympic Committee country code representing Bulgaria in Olympic events and records.
  • B. BU
    BU is a major private research university in Boston, Massachusetts, known for its diverse academic programs and global student body.
  • C. BU
    BU is a historic vehicle registration prefix that was once used to identify motor vehicles registered in Buckinghamshire, England.
  • D. BU
    BU is a modern public university located in Bournemouth, England, known for its strong industry links and career-focused courses, particularly in media, business, and tourism.
  • E. BU
    BU is the commonly used abbreviation for Bloomsburg University of Pennsylvania, a public university located in Bloomsburg, Pennsylvania.
  • 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: BUPL
Triple: [Danish trade unions, include, BUPL]
Generated description
BUPL is a Danish trade union representing early childhood educators and pedagogical staff.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BUPL
Target entity description: BUPL is a Danish trade union representing early childhood educators and pedagogical staff.
  • A. BUL
    BUL is the three-letter International Olympic Committee country code representing Bulgaria in Olympic events and records.
  • B. BU
    BU is a major private research university in Boston, Massachusetts, known for its diverse academic programs and global student body.
  • C. BU
    BU is a historic vehicle registration prefix that was once used to identify motor vehicles registered in Buckinghamshire, England.
  • D. BU
    BU is a modern public university located in Bournemouth, England, known for its strong industry links and career-focused courses, particularly in media, business, and tourism.
  • E. BU
    BU is the commonly used abbreviation for Bloomsburg University of Pennsylvania, a public university located in Bloomsburg, Pennsylvania.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e98b149481909f432a6b9ef8bfbb completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a32ac308190828e1138522527fb completed April 19, 2026, 5 p.m.
NEDg Description generation batch_69e510f9edb4819097e9fa1ce85504ed completed April 19, 2026, 5:29 p.m.
NED2 Entity disambiguation (via description) batch_69e516ac8dec81909c9c1eece372189e completed April 19, 2026, 5:53 p.m.
Created at: April 8, 2026, 9:32 p.m.