Triple
T37658216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | java.io.PrintWriter |
E937651
|
entity |
| Predicate | autoFlushBehavior |
P188578
|
FINISHED |
| Object | flushes on println when autoFlush is true |
—
|
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: flushes on println when autoFlush is true | Statement: [java.io.PrintWriter, autoFlushBehavior, flushes on println when autoFlush is true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: autoFlushBehavior Context triple: [java.io.PrintWriter, autoFlushBehavior, flushes on println when autoFlush is true]
-
A.
bufferingBehavior
Indicates how an entity manages temporary data storage or delay (buffering) while processing or transmitting information.
-
B.
haulOutBehavior
Indicates the behavior of an animal moving out of the water onto land or ice, typically to rest, breed, or thermoregulate.
-
C.
drainFrequency
Indicates how often a draining action or process occurs between the related entities.
-
D.
isAutoReset
Indicates that the related mechanism or state automatically returns to its default or initial condition after being triggered or used.
-
E.
bootBehavior
Indicates how a system or device behaves during its startup or boot process.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa19e4a88190b04f26c0d4e708fd |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbaa108ee48190b84d13df3ef3e365 |
completed | May 6, 2026, 8:52 p.m. |
Created at: May 3, 2026, 4:18 p.m.