Triple
T8806705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lazarus Component Library |
E209549
|
entity |
| Predicate | providesComponent |
P14071
|
FINISHED |
| Object | TDataSource |
E322641
|
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: TDataSource | Statement: [Lazarus Component Library, providesComponent, TDataSource]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TDataSource Context triple: [Lazarus Component Library, providesComponent, TDataSource]
-
A.
TDataSource
chosen
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.
-
B.
DSN
DSN is the acronym for NASA’s Deep Space Network, a global system of large radio antennas used to communicate with and track interplanetary spacecraft and distant space missions.
-
C.
TTable
TTable is a Delphi VCL data-access component that represents and manipulates an entire database table through a live, table-based dataset interface.
-
D.
DataSet API
DataSet API is Apache Flink’s now-legacy batch processing API for defining and executing scalable, distributed data transformations.
-
E.
ADF Data Controls
ADF Data Controls are a key Oracle ADF framework feature that expose business services and data models in a declarative, reusable way for rapid UI development.
- 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fd1f1a08190a2e584f6b0495f5c |
completed | March 31, 2026, 11:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f96bb448190b9316ad55d61662a |
completed | April 3, 2026, 7:43 a.m. |
Created at: March 30, 2026, 6:45 p.m.