Triple

T13019732
Position Surface form Disambiguated ID Type / Status
Subject TDataSource E322641 entity
Predicate isUsedWith P4791 FINISHED
Object TDBEdit
TDBEdit is a data-aware edit control component in Delphi that displays and allows editing of field values from a connected dataset.
E1014699 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: TDBEdit | Statement: [TDataSource, isUsedWith, TDBEdit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TDBEdit
Context triple: [TDataSource, isUsedWith, TDBEdit]
  • A. TDB
    TDB is the commonly used abbreviation for the Trade and Development Board, a key decision-making body within the United Nations Conference on Trade and Development (UNCTAD).
  • B. ETDB
    ETDB is a regional international financial institution focused on promoting economic development and cooperation among its member states through trade and investment financing.
  • C. TEdit
    TEdit is a standard text input control in Delphi's Visual Component Library used for entering and editing single-line text.
  • D. TDBGrid
    TDBGrid is a Lazarus visual component used to display and edit database table records in a grid format within applications.
  • E. EDB
    EDB is the National Rail station code for Edinburgh Waverley, the main railway station in Edinburgh, Scotland.
  • 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: TDBEdit
Triple: [TDataSource, isUsedWith, TDBEdit]
Generated description
TDBEdit is a data-aware edit control component in Delphi that displays and allows editing of field values from a connected dataset.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TDBEdit
Target entity description: TDBEdit is a data-aware edit control component in Delphi that displays and allows editing of field values from a connected dataset.
  • A. TDB
    TDB is the commonly used abbreviation for the Trade and Development Board, a key decision-making body within the United Nations Conference on Trade and Development (UNCTAD).
  • B. ETDB
    ETDB is a regional international financial institution focused on promoting economic development and cooperation among its member states through trade and investment financing.
  • C. TEdit
    TEdit is a standard text input control in Delphi's Visual Component Library used for entering and editing single-line text.
  • D. TDBGrid
    TDBGrid is a Lazarus visual component used to display and edit database table records in a grid format within applications.
  • E. EDB
    EDB is the National Rail station code for Edinburgh Waverley, the main railway station in Edinburgh, Scotland.
  • 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.