Triple

T10813870
Position Surface form Disambiguated ID Type / Status
Subject Dallas Bar Association E255173 entity
Predicate abbreviation P43 FINISHED
Object DBA
DBA is the commonly used acronym for the Dallas Bar Association, a professional organization of lawyers in Dallas, Texas.
E887527 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: DBA | Statement: [Dallas Bar Association, abbreviation, DBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DBA
Context triple: [Dallas Bar Association, abbreviation, DBA]
  • A. DBE
    DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
  • B. DB
    DB is the commonly used abbreviation for Deutsche Bahn, Germany’s national railway company and one of the largest rail operators in Europe.
  • C. DB
    DB is the standard abbreviation for "Deutsche Biographie," a major German biographical reference work documenting notable figures from German history and culture.
  • D. DB
    DB is the vehicle registration code assigned to Dâmbovița County in Romania, whose capital is Târgoviște.
  • E. Enterprise Manager
    Enterprise Manager is an older Microsoft SQL Server administration tool that was superseded by SQL Server Management Studio for managing and developing SQL Server databases.
  • 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: DBA
Triple: [Dallas Bar Association, abbreviation, DBA]
Generated description
DBA is the commonly used acronym for the Dallas Bar Association, a professional organization of lawyers in Dallas, Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DBA
Target entity description: DBA is the commonly used acronym for the Dallas Bar Association, a professional organization of lawyers in Dallas, Texas.
  • A. DBE
    DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
  • B. DB
    DB is the commonly used abbreviation for Deutsche Bahn, Germany’s national railway company and one of the largest rail operators in Europe.
  • C. DB
    DB is the standard abbreviation for "Deutsche Biographie," a major German biographical reference work documenting notable figures from German history and culture.
  • D. DB
    DB is the vehicle registration code assigned to Dâmbovița County in Romania, whose capital is Târgoviște.
  • E. Enterprise Manager
    Enterprise Manager is an older Microsoft SQL Server administration tool that was superseded by SQL Server Management Studio for managing and developing SQL Server databases.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733eba9b48190b4dbe7fe5d8be0a4 completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8546b41081909e13152c4df2eb1c completed April 14, 2026, 6:19 p.m.
NEDg Description generation batch_69de8955b9d8819086ff98efbff6c7a0 completed April 14, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69de8f4a318c819086559fd53506ab29 completed April 14, 2026, 7:02 p.m.
Created at: April 8, 2026, 9:18 p.m.