Triple
T18050887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | itertools |
E431922
|
entity |
| Predicate | threadSafe |
P129619
|
FINISHED |
| Object | depends on underlying iterators |
—
|
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: depends on underlying iterators | Statement: [itertools, threadSafe, depends on underlying iterators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threadSafe Context triple: [itertools, threadSafe, depends on underlying iterators]
-
A.
isThreadSafeValueType
Indicates that a value type can be safely accessed and modified by multiple threads concurrently without causing data races or inconsistent state.
-
B.
supportsMultithreading
Indicates that the subject is capable of executing multiple threads concurrently within the same process.
-
C.
threadingRequirement
Indicates the conditions or constraints under which an operation must be executed with respect to threads (e.g., which thread or threading model is required).
-
D.
threadBehavior
Indicates how a thread operates or responds under certain conditions within a concurrent or multi-threaded context.
-
E.
threadingBehavior
Indicates how execution threads are managed or utilized in performing an operation or maintaining a 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff57ea08190a30a87993f7d3299 |
completed | April 19, 2026, 11:43 a.m. |
| PD | Predicate disambiguation | batch_69e3f908da508190a088aa837ea5b7af |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:25 a.m.