Triple
T3061199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Visual Component Library |
E61999
|
entity |
| Predicate | wraps |
P7850
|
FINISHED |
| Object | Win32 controls |
—
|
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 controls | Statement: [Visual Component Library, wraps, Win32 controls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wraps Context triple: [Visual Component Library, wraps, Win32 controls]
-
A.
wears
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
-
B.
lays
Indicates that one entity deposits or places something, typically eggs or objects, onto a surface or in a location.
-
C.
whips
Indicates that one entity strikes or lashes another entity using a whip or whip-like implement.
-
D.
binding
Indicates that one entity physically or chemically attaches, adheres, or forms a stable association with another entity.
-
E.
surrounds
chosen
Indicates that one entity is located all around another entity, enclosing or encircling it on multiple sides or completely.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e9e1e248190b5ed5ebcdad1321e |
completed | March 8, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69ad962326e081909d5521c3d3ea3158 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.