Triple

T2556036
Position Surface form Disambiguated ID Type / Status
Subject Database Tuning Advisor E56731 entity
Predicate commandLineExecutable P25602 FINISHED
Object dta.exe
dta.exe is the command-line version of SQL Server's Database Tuning Advisor, used to analyze workloads and recommend indexing and partitioning strategies for performance optimization.
E277009 NE FINISHED

How this triple was built (5 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: dta.exe | Statement: [Database Tuning Advisor, commandLineExecutable, dta.exe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: dta.exe
Context triple: [Database Tuning Advisor, commandLineExecutable, dta.exe]
  • A. daa
    daa is the Irish state-owned airport operator responsible for managing Dublin Airport and other aviation and travel-related businesses.
  • B. DAL
    DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
  • C. DAL
    DAL is the standard three-letter abbreviation used for the NBA team Dallas Mavericks.
  • D. DAL
    DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
  • E. DAL
    DAL is the standard three-letter abbreviation used for the NFL team the Dallas Cowboys.
  • 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: dta.exe
Triple: [Database Tuning Advisor, commandLineExecutable, dta.exe]
Generated description
dta.exe is the command-line version of SQL Server's Database Tuning Advisor, used to analyze workloads and recommend indexing and partitioning strategies for performance optimization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: dta.exe
Target entity description: dta.exe is the command-line version of SQL Server's Database Tuning Advisor, used to analyze workloads and recommend indexing and partitioning strategies for performance optimization.
  • A. daa
    daa is the Irish state-owned airport operator responsible for managing Dublin Airport and other aviation and travel-related businesses.
  • B. DAL
    DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
  • C. DAL
    DAL is the standard three-letter abbreviation used for the NBA team Dallas Mavericks.
  • D. DAL
    DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
  • E. DAL
    DAL is the standard three-letter abbreviation used for the NFL team the Dallas Cowboys.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: commandLineExecutable
Context triple: [Database Tuning Advisor, commandLineExecutable, dta.exe]
  • A. commandLineTool chosen
    Indicates that an entity is a software utility intended to be executed and interacted with via a text-based command-line interface.
  • B. executableName
    Indicates the specific name of a program or binary file that is intended to be executed.
  • C. commandName
    Indicates the specific label or identifier used to denote a particular command within a system or interface.
  • D. languageOfCommand
    Indicates that a specified language is the one in which a given command is expressed or issued.
  • E. commandModuleName
    Indicates the name assigned to a specific command module within a system or application.
  • F. None of above.

Provenance (6 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd5a33234819082ad49fa6594b6be completed March 7, 2026, 7:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d1ad6b4819097f1d18a12aa2b89 completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5dea244c81909bd6bcdba0edf958 completed March 9, 2026, 11:55 p.m.
NED2 Entity disambiguation (via description) batch_69af5e66a39c81909a49c272cd595c84 completed March 9, 2026, 11:57 p.m.
PD Predicate disambiguation batch_69abd0c8b6f08190a68645db3e8b779a completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:48 p.m.