Triple
T8806694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lazarus Component Library |
E209549
|
entity |
| Predicate | usesWidgetset |
P3097
|
FINISHED |
| Object | Win32/Win64 |
—
|
LITERAL 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: Win32/Win64 | Statement: [Lazarus Component Library, usesWidgetset, Win32/Win64]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesWidgetset Context triple: [Lazarus Component Library, usesWidgetset, Win32/Win64]
-
A.
supportsWidgetType
Indicates that one entity is capable of handling, operating with, or being compatible with a specified type of widget.
-
B.
usesThemeFrom
Indicates that one work incorporates, references, or is based on the thematic material of another work.
-
C.
supportsInteractiveWidgets
Indicates that an entity is capable of handling or enabling interactive widgets within its context or environment.
-
D.
usesElement
chosen
Indicates that one entity makes use of, incorporates, or depends on a specified element in its structure, function, or behavior.
-
E.
usesElementsOf
Indicates that one entity incorporates, applies, or draws upon components, principles, or features derived from another entity.
- F. None of above.
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. |
| PD | Predicate disambiguation | batch_69cc5c1f28ec8190a34311cb412920c2 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:45 p.m.