Triple
T7858587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLS (.NET) |
E182436
|
entity |
| Predicate | hasAnnotation |
P4981
|
FINISHED |
| Object | [CLSCompliant] attribute in .NET |
—
|
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: [CLSCompliant] attribute in .NET | Statement: [CLS (.NET), hasAnnotation, [CLSCompliant] attribute in .NET]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnnotation Context triple: [CLS (.NET), hasAnnotation, [CLSCompliant] attribute in .NET]
-
A.
hasInterface
Indicates that one entity provides, exposes, or is connected through a defined interface to another entity.
-
B.
typeOfAnnotation
chosen
Indicates that one entity is an annotation and specifies the kind or category of that annotation in relation to the annotated item.
-
C.
hasNotableImplementationAt
Indicates that something has a significant or noteworthy implementation located at or associated with a particular place, context, or platform.
-
D.
hasDecor
Indicates that one entity possesses, features, or is adorned with a particular decorative element or style.
-
E.
hasTarget
Indicates that one entity is directed toward, aimed at, or intended to affect another specific entity as its target.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a787c8c8190bcd9ed76cc7aa4c5 |
completed | March 31, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:52 p.m.