Triple

T2115685
Position Surface form Disambiguated ID Type / Status
Subject Stowe School E43803 entity
Predicate offersQualification P49 FINISHED
Object BTEC
BTEC is a vocational qualification from the UK that focuses on practical, career-oriented learning across a wide range of subjects.
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 | Statement: [Stowe School, offersQualification, BTEC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BTEC
Context triple: [Stowe School, offersQualification, BTEC]
  • A. HND
    HND is the three-letter ISO 3166-1 alpha-3 country code assigned to Honduras.
  • B. 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.
  • C. BCS
    BCS is the abbreviation for the Santiago Stock Exchange, the main securities exchange in Chile.
  • D. BCS
    BCS is the abbreviation for the Bowl Championship Series, the former system used to determine matchups and the national champion in top-tier U.S. college football.
  • E. GCSE
    The GCSE (General Certificate of Secondary Education) is a set of subject-based academic qualifications typically taken by students in England, Wales, and Northern Ireland around age 16, forming a key part of secondary education and progression to further study.
  • 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
Triple: [Stowe School, offersQualification, BTEC]
Generated description
BTEC is a vocational qualification from the UK that focuses on practical, career-oriented learning across a wide range of subjects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BTEC
Target entity description: BTEC is a vocational qualification from the UK that focuses on practical, career-oriented learning across a wide range of subjects.
  • A. HND
    HND is the three-letter ISO 3166-1 alpha-3 country code assigned to Honduras.
  • B. 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.
  • C. BCS
    BCS is the abbreviation for the Santiago Stock Exchange, the main securities exchange in Chile.
  • D. BCS
    BCS is the abbreviation for the Bowl Championship Series, the former system used to determine matchups and the national champion in top-tier U.S. college football.
  • E. GCSE
    The GCSE (General Certificate of Secondary Education) is a set of subject-based academic qualifications typically taken by students in England, Wales, and Northern Ireland around age 16, forming a key part of secondary education and progression to further study.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb0724e08190a0a4210d86261d6d completed March 7, 2026, 5:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3076afec819091183e328cff58c8 completed March 9, 2026, 2:29 a.m.
NEDg Description generation batch_69ae30e1c7488190acd6d29c5ad10c33 completed March 9, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_69ae316398488190b9dd38145d5488b4 completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:43 p.m.