Triple

T13019728
Position Surface form Disambiguated ID Type / Status
Subject TDataSource E322641 entity
Predicate isUsedWith P4791 FINISHED
Object TADOQuery
TADOQuery is a Delphi database component that executes SQL queries using ADO to access and manipulate data from various relational databases.
 E1014698 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: TADOQuery | Statement: [TDataSource, isUsedWith, TADOQuery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TADOQuery
Context triple: [TDataSource, isUsedWith, TADOQuery]
  • A. TAD
    TAD is the OECD’s Trade and Agriculture Directorate, which develops international policies and analysis on global trade, agriculture, and related economic issues.
  • B. TAD
    TAD is an acronym commonly used to refer to a Tax Allocation District, a designated area where future tax revenues are used to finance redevelopment and public improvements.
  • C. QTA
    QTA is the official railway station code for Quetta Railway Station in Pakistan’s railway network.
  • D. Tadoe
    Tadoe is an American rapper from Chicago known for his involvement in the drill music scene and frequent collaborations with artists like Chief Keef and Young Chop.
  • E. TAO
    TAO is the UN/LOCODE designation for the major Chinese seaport of Qingdao, a key hub for international maritime trade.
  • 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: TADOQuery
Triple: [TDataSource, isUsedWith, TADOQuery]
Generated description
TADOQuery is a Delphi database component that executes SQL queries using ADO to access and manipulate data from various relational databases.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TADOQuery
Target entity description: TADOQuery is a Delphi database component that executes SQL queries using ADO to access and manipulate data from various relational databases.
  • A. TAD
    TAD is the OECD’s Trade and Agriculture Directorate, which develops international policies and analysis on global trade, agriculture, and related economic issues.
  • B. TAD
    TAD is an acronym commonly used to refer to a Tax Allocation District, a designated area where future tax revenues are used to finance redevelopment and public improvements.
  • C. QTA
    QTA is the official railway station code for Quetta Railway Station in Pakistan’s railway network.
  • D. Tadoe
    Tadoe is an American rapper from Chicago known for his involvement in the drill music scene and frequent collaborations with artists like Chief Keef and Young Chop.
  • E. TAO
    TAO is the UN/LOCODE designation for the major Chinese seaport of Qingdao, a key hub for international maritime trade.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ecf21bc819082fb512bc479b4be completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c116423881908d0de1e04904fbc3 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c20aff008190a1a10ac02ed08726 completed May 3, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f6c2de143c81908164f5df2b92e5c3 completed May 3, 2026, 3:37 a.m.
Created at: April 9, 2026, 8:51 p.m.