Triple

T13019791
Position Surface form Disambiguated ID Type / Status
Subject TTable E322642 entity
Predicate supersededBy P101 FINISHED
Object TClientDataSet E1014697 NE FINISHED

How this triple was built (2 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: TClientDataSet | Statement: [TTable, supersededBy, TClientDataSet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TClientDataSet
Context triple: [TTable, supersededBy, TClientDataSet]
  • A. TClientDataSet chosen
    TClientDataSet is a Delphi dataset component that provides in-memory, client-side data storage and manipulation, often used for briefcase models and multi-tier database applications.
  • B. TDataSet
    TDataSet is a fundamental Delphi/VCL class that provides an abstract interface and core functionality for working with tabular data in database applications.
  • C. TDataSource
    TDataSource is a Delphi VCL component that links data-aware controls to dataset components, managing the flow of data between the user interface and underlying data sources.
  • D. TDBGrid
    TDBGrid is a Lazarus visual component used to display and edit database table records in a grid format within applications.
  • E. FireDAC
    FireDAC is a high-performance, cross-platform data access library for Delphi and C++Builder that provides unified connectivity to a wide range of databases.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69f6cbc98e10819091d71198bca1ac12 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:51 p.m.