Triple

T10161922
Position Surface form Disambiguated ID Type / Status
Subject BTEC E233910 entity
Predicate hasLevel P2393 FINISHED
Object BTEC Level 3 E233910 NE FINISHED

How this triple was built (2 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 3 | Statement: [BTEC, hasLevel, BTEC Level 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BTEC Level 3
Context triple: [BTEC, hasLevel, BTEC Level 3]
  • 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. 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.
  • C. HNC
    HNC is the National Rail station code for Hamilton Central railway station in South Lanarkshire, Scotland.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: March 30, 2026, 9:09 p.m.