Triple
T9761897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NSAutoreleasePool |
E236688
|
entity |
| Predicate | memoryPattern |
P79849
|
FINISHED |
| Object | helps control peak memory usage in loops |
—
|
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: helps control peak memory usage in loops | Statement: [NSAutoreleasePool, memoryPattern, helps control peak memory usage in loops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memoryPattern Context triple: [NSAutoreleasePool, memoryPattern, helps control peak memory usage in loops]
-
A.
memoryCharacteristic
Indicates a relationship where a specific property or quality is attributed to a memory or memory-related entity.
-
B.
memoryType
Indicates the specific category or kind of memory associated with an entity or process.
-
C.
memoryModel
Indicates a relationship where an entity serves as or uses a specific model or framework for representing, organizing, or managing memory.
-
D.
memory
Indicates that an entity retains, recalls, or is associated with stored information or past experiences.
-
E.
accessPattern
chosen
Indicates how an entity interacts with or retrieves data or resources, such as the manner, frequency, or sequence of access.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda04c70108190a8ed09eb6f2a124e |
completed | April 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:25 p.m.