Triple
T27731560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NUnit.Framework.TestAttribute |
E697441
|
entity |
| Predicate | hasUsageExample |
P1259
|
FINISHED |
| Object | [Test] public void MyTest() { /* assertions */ } |
—
|
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: [Test] public void MyTest() { /* assertions */ } | Statement: [NUnit.Framework.TestAttribute, hasUsageExample, [Test] public void MyTest() { /* assertions */ }]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUsageExample
Context triple: [NUnit.Framework.TestAttribute, hasUsageExample, [Test] public void MyTest() { /* assertions */ }]
-
A.
hasExample
chosen
Indicates that one entity serves as an instance, illustration, or concrete example of another entity.
-
B.
hasNotableUseExample
Indicates that there exists a particularly significant or illustrative example of how something is used.
-
C.
hasExampleProvider
Indicates that one entity serves as an example provider or source of illustrative instances for another entity.
-
D.
usedAsExampleIn
Indicates that one entity is cited or presented as an illustrative example within another entity, such as a text, discussion, or explanation.
-
E.
hasShowUse
Indicates that something is used or presented as an example or demonstration in a show, display, or illustrative context.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 3:11 p.m.