Triple
T15243386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Bankers' Association |
E364314
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
BBA
BBA is the commonly used abbreviation for the British Bankers' Association, the former leading trade association for the UK banking and financial services sector.
|
E1145486
|
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: BBA | Statement: [British Bankers' Association, shortName, BBA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BBA Context triple: [British Bankers' Association, shortName, BBA]
-
A.
BBA
BBA is an undergraduate Bachelor of Business Administration degree program focused on foundational and applied business education.
-
B.
BBA
BBA is an Indian child-rights organization founded by Nobel laureate Kailash Satyarthi, known for its campaigns against child labor and trafficking.
-
C.
BBA
BBA is the IATA airport code for Balmaceda Airport, a regional airport serving the Aysén Region in southern Chile.
-
D.
BBA
BBA is the standard abbreviation for the Blainville-Boisbriand Armada, a major junior ice hockey team in the Quebec Major Junior Hockey League (QMJHL).
-
E.
MBA
MBA is the three-letter IATA airport code assigned to Moi International Airport in Mombasa, Kenya.
- 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: BBA Triple: [British Bankers' Association, shortName, BBA]
Generated description
BBA is the commonly used abbreviation for the British Bankers' Association, the former leading trade association for the UK banking and financial services sector.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BBA Target entity description: BBA is the commonly used abbreviation for the British Bankers' Association, the former leading trade association for the UK banking and financial services sector.
-
A.
BBA
BBA is an undergraduate Bachelor of Business Administration degree program focused on foundational and applied business education.
-
B.
BBA
BBA is an Indian child-rights organization founded by Nobel laureate Kailash Satyarthi, known for its campaigns against child labor and trafficking.
-
C.
BBA
BBA is the IATA airport code for Balmaceda Airport, a regional airport serving the Aysén Region in southern Chile.
-
D.
BBA
BBA is the standard abbreviation for the Blainville-Boisbriand Armada, a major junior ice hockey team in the Quebec Major Junior Hockey League (QMJHL).
-
E.
MBA
MBA is the three-letter IATA airport code assigned to Moi International Airport in Mombasa, Kenya.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007dcc33081908545ea1a1d2c19fe |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd461cf08190a506aac2f0cec83a |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fedf6ee3f081909553078cd3e9d243 |
completed | May 9, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee0016a088190ad87268e035f677e |
completed | May 9, 2026, 7:19 a.m. |
Created at: April 10, 2026, 3:13 a.m.