Triple
T27733536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System.Console |
E697481
|
entity |
| Predicate | ErrorType |
P144597
|
FINISHED |
| Object | System.IO.TextWriter |
—
|
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.IO.TextWriter | Statement: [System.Console, ErrorType, System.IO.TextWriter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ErrorType Context triple: [System.Console, ErrorType, System.IO.TextWriter]
-
A.
errorType
Indicates the specific category or kind of error associated with an event, action, or entity.
-
B.
hasErrorType
chosen
Indicates that an entity is associated with, or classified by, a specific type or category of error.
-
C.
errorSide
Indicates the side, party, or component on which an error occurs or is attributed in a given context.
-
D.
errorOn
Indicates that one entity experiences, produces, or is associated with an error in relation to another entity or context.
-
E.
errorTerm
Indicates the specific discrepancy or residual value that quantifies the difference between an observed outcome and its predicted or true value in a model or calculation.
- 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_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 3:12 p.m.