Triple

T8865929
Position Surface form Disambiguated ID Type / Status
Subject Didcot Girls' School E211017 entity
Predicate offersQualification P49 FINISHED
Object BTEC 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 | Statement: [Didcot Girls' School, offersQualification, BTEC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BTEC
Context triple: [Didcot Girls' School, offersQualification, BTEC]
  • 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.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6106d41081909db710bda8aaf6fd completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0d311148190823cc047e2908bc0 completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:51 p.m.