Triple
T8806701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lazarus Component Library |
E209549
|
entity |
| Predicate | providesComponent |
P14071
|
FINISHED |
| Object | TLabel |
E322636
|
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: TLabel | Statement: [Lazarus Component Library, providesComponent, TLabel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TLabel Context triple: [Lazarus Component Library, providesComponent, TLabel]
-
A.
TLabel
chosen
TLabel is a basic visual component used in graphical user interfaces to display non-editable text captions or descriptions.
-
B.
TButton
TButton is a standard clickable button control used in the Visual Component Library (VCL) for building graphical user interfaces in Delphi and C++Builder applications.
-
C.
SKLabelNode
SKLabelNode is a SpriteKit class used to display and render text labels within 2D game scenes.
-
D.
TControl
TControl is a fundamental base class in Delphi's Visual Component Library that provides common behavior and properties for visual components and controls.
-
E.
Deco Labels and Tags
Deco Labels and Tags is a Toronto-based label and packaging printing company long associated with the Ford family, including former mayor Rob Ford.
- 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.