Triple

T10161924
Position Surface form Disambiguated ID Type / Status
Subject BTEC E233910 entity
Predicate hasLevel P2393 FINISHED
Object BTEC Level 5
BTEC Level 5 is an advanced vocational qualification in the UK roughly equivalent to the second year of a bachelor’s degree, focusing on practical and career-oriented higher education.
 E233910 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: BTEC Level 5 | Statement: [BTEC, hasLevel, BTEC Level 5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BTEC Level 5
Context triple: [BTEC, hasLevel, BTEC Level 5]
  • A. BTEC
    BTEC is a vocational qualification from the UK that focuses on practical, career-oriented learning across a wide range of subjects.
  • B. HNC
    HNC is the National Rail station code for Hamilton Central railway station in South Lanarkshire, Scotland.
  • C. Foundation Diploma in Art and Design
    The Foundation Diploma in Art and Design is a preparatory course that develops core creative, technical, and conceptual skills for progression to specialist art and design degrees.
  • D. HND
    HND is the three-letter ISO 3166-1 alpha-3 country code assigned to Honduras.
  • E. HND
    HND is the IATA airport code for Tokyo International Airport, commonly known as Haneda Airport, one of Japan’s busiest and primary airports serving the Tokyo metropolitan area.
  • 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: BTEC Level 5
Triple: [BTEC, hasLevel, BTEC Level 5]
Generated description
BTEC Level 5 is an advanced vocational qualification in the UK roughly equivalent to the second year of a bachelor’s degree, focusing on practical and career-oriented higher education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BTEC Level 5
Target entity description: BTEC Level 5 is an advanced vocational qualification in the UK roughly equivalent to the second year of a bachelor’s degree, focusing on practical and career-oriented higher education.
  • A. BTEC chosen
    BTEC is a vocational qualification from the UK that focuses on practical, career-oriented learning across a wide range of subjects.
  • B. HNC
    HNC is the National Rail station code for Hamilton Central railway station in South Lanarkshire, Scotland.
  • C. Foundation Diploma in Art and Design
    The Foundation Diploma in Art and Design is a preparatory course that develops core creative, technical, and conceptual skills for progression to specialist art and design degrees.
  • D. HND
    HND is the three-letter ISO 3166-1 alpha-3 country code assigned to Honduras.
  • E. HND
    HND is the IATA airport code for Tokyo International Airport, commonly known as Haneda Airport, one of Japan’s busiest and primary airports serving the Tokyo metropolitan area.
  • F. None of above.

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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec59b01081908be6ca37dc575465 completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300c2651c8190a80c933002ac62e8 completed April 6, 2026, 12:39 a.m.
NEDg Description generation batch_69d30254aabc8190966a4398c59a851e completed April 6, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d30305924c8190998cbefa372dca9a completed April 6, 2026, 12:49 a.m.
Created at: March 30, 2026, 9:09 p.m.