Triple

T9478121
Position Surface form Disambiguated ID Type / Status
Subject British Deaf Association E228565 entity
Predicate shortName P43 FINISHED
Object BDA
BDA is a UK-based charity that advocates for the rights, language, and culture of deaf people, particularly promoting British Sign Language.
 E802688 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: BDA | Statement: [British Deaf Association, shortName, BDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BDA
Context triple: [British Deaf Association, shortName, BDA]
  • A. BDA
    BDA is the IATA airport code for L.F. Wade International Airport, the main international gateway to Bermuda.
  • B. BDA
    BDA is the common abbreviation for Blu-ray Disc, a high-definition optical disc format used for storing and playing back movies, games, and other digital media.
  • C. BDB
    BDB is the IATA airport code for Bundaberg Airport, a regional airport serving the city of Bundaberg in Queensland, Australia.
  • D. BdE
    BdE is the commonly used abbreviation for the Bank of Spain, the country’s central bank responsible for monetary policy and financial supervision.
  • E. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • 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: BDA
Triple: [British Deaf Association, shortName, BDA]
Generated description
BDA is a UK-based charity that advocates for the rights, language, and culture of deaf people, particularly promoting British Sign Language.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BDA
Target entity description: BDA is a UK-based charity that advocates for the rights, language, and culture of deaf people, particularly promoting British Sign Language.
  • A. BDA
    BDA is the IATA airport code for L.F. Wade International Airport, the main international gateway to Bermuda.
  • B. BDA
    BDA is the common abbreviation for Blu-ray Disc, a high-definition optical disc format used for storing and playing back movies, games, and other digital media.
  • C. BDB
    BDB is the IATA airport code for Bundaberg Airport, a regional airport serving the city of Bundaberg in Queensland, Australia.
  • D. BdE
    BdE is the commonly used abbreviation for the Bank of Spain, the country’s central bank responsible for monetary policy and financial supervision.
  • E. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd801386948190890133f622ff360b completed April 1, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12cf057908190a0541f0fed4ffd13 completed April 4, 2026, 3:23 p.m.
NEDg Description generation batch_69d130d9e9c08190866ac7ca6a7960aa completed April 4, 2026, 3:40 p.m.
NED2 Entity disambiguation (via description) batch_69d131268cd881909b3666bc20442405 completed April 4, 2026, 3:41 p.m.
Created at: March 30, 2026, 7:54 p.m.