Triple
T27731332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System.SerializableAttribute |
E697436
|
entity |
| Predicate | relatedAttribute |
P200428
|
FINISHED |
| Object | System.NonSerializedAttribute |
—
|
NE NERFINISHED |
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: System.NonSerializedAttribute | Statement: [System.SerializableAttribute, relatedAttribute, System.NonSerializedAttribute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedAttribute Context triple: [System.SerializableAttribute, relatedAttribute, System.NonSerializedAttribute]
-
A.
relatedField
Indicates that one field, topic, or area of study is connected or relevant to another in subject matter or application.
-
B.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
C.
relatedPass
Indicates that one pass is associated with or connected to another pass in some relevant way.
-
D.
associatedItem
Indicates that one item is linked or connected to another in a relevant or context-dependent way, without specifying a more precise relationship.
-
E.
associatedWithAttribute
Indicates that one entity is linked to, characterized by, or described through a particular attribute.
- F. None of above. chosen
Provenance (4 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_69ff8aff48988190a48a440de8238ef9 |
completed | May 9, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69ff8a780404819082f48ceb21e7fe11 |
completed | May 9, 2026, 7:26 p.m. |
| PDg | Predicate description generation | batch_69ff8afe9d5c8190bd5ae434fc2b550b |
completed | May 9, 2026, 7:29 p.m. |
Created at: April 27, 2026, 3:11 p.m.