Triple

T20775437
Position Surface form Disambiguated ID Type / Status
Subject British Medical Association E511342 entity
Predicate abbreviation P43 FINISHED
Object BMA
BMA is the professional association and registered trade union representing doctors and medical students in the United Kingdom.
 E1449505 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: BMA | Statement: [British Medical Association, abbreviation, BMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BMA
Context triple: [British Medical Association, abbreviation, BMA]
  • A. BMA
    BMA is the IATA airport code for Stockholm Bromma Airport, a regional airport serving Stockholm, Sweden.
  • B. BMA
    BMA is the local government authority responsible for administering and managing the city of Bangkok, Thailand.
  • C. BBMA
    BBMA is the commonly used abbreviation for the Billboard Music Awards, an annual ceremony honoring achievements in the music industry based on Billboard chart performance.
  • D. ABMA
    ABMA was a U.S. Army organization responsible for the development of early American ballistic missiles and space launch vehicles during the Cold War era.
  • E. BMH
    BMH is the National Rail station code for Bournemouth railway station in Dorset, England.
  • 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: BMA
Triple: [British Medical Association, abbreviation, BMA]
Generated description
BMA is the professional association and registered trade union representing doctors and medical students in the United Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BMA
Target entity description: BMA is the professional association and registered trade union representing doctors and medical students in the United Kingdom.
  • A. BMA
    BMA is the IATA airport code for Stockholm Bromma Airport, a regional airport serving Stockholm, Sweden.
  • B. BMA
    BMA is the local government authority responsible for administering and managing the city of Bangkok, Thailand.
  • C. BBMA
    BBMA is the commonly used abbreviation for the Billboard Music Awards, an annual ceremony honoring achievements in the music industry based on Billboard chart performance.
  • D. ABMA
    ABMA was a U.S. Army organization responsible for the development of early American ballistic missiles and space launch vehicles during the Cold War era.
  • E. BMH
    BMH is the National Rail station code for Bournemouth railway station in Dorset, England.
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c26b06ac81909aef3b0a0ad79a33 completed April 21, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef95f3d0819088cab88673d49c28 completed May 16, 2026, 10:28 p.m.
NEDg Description generation batch_6a08f015f37081909e7202a76a5814ea completed May 16, 2026, 10:30 p.m.
NED2 Entity disambiguation (via description) batch_6a08f07dfb208190b00ad28d62e21de4 completed May 16, 2026, 10:32 p.m.
Created at: April 16, 2026, 12:37 p.m.