Triple
T33433730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TextDecoderStream |
E856194
|
entity |
| Predicate | errorBehaviorWhenFatalFalse |
P177026
|
FINISHED |
| Object | replaces malformed data with U+FFFD |
—
|
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: replaces malformed data with U+FFFD | Statement: [TextDecoderStream, errorBehaviorWhenFatalFalse, replaces malformed data with U+FFFD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: errorBehaviorWhenFatalFalse Context triple: [TextDecoderStream, errorBehaviorWhenFatalFalse, replaces malformed data with U+FFFD]
-
A.
failureBehavior
Indicates how a system, component, or process is expected to respond or act when a failure or error condition occurs.
-
B.
isFatalByDefault
Indicates that the associated condition, action, or event is presumed to result in death unless explicitly specified otherwise.
-
C.
errorOn
Indicates that one entity experiences, produces, or is associated with an error in relation to another entity or context.
-
D.
failsWhen
Indicates that a particular action, process, or condition does not succeed under the specified circumstances or triggers.
-
E.
abortModeUsed
Indicates that an operation, process, or procedure was carried out using an abort or emergency-termination mode.
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f85bfba48190aba95b40642a8ca7 |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f814fcf48190ae4504154d1b2c05 |
completed | May 3, 2026, 7:24 a.m. |
Created at: May 1, 2026, 1:36 a.m.