Triple
T10328864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CountQueuingStrategy |
E242827
|
entity |
| Predicate | queueSizeDependsOn |
P93433
|
FINISHED |
| Object | number of enqueued chunks |
—
|
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: number of enqueued chunks | Statement: [CountQueuingStrategy, queueSizeDependsOn, number of enqueued chunks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: queueSizeDependsOn Context triple: [CountQueuingStrategy, queueSizeDependsOn, number of enqueued chunks]
-
A.
queueLength
Indicates the current number of items or entities waiting in a queue.
-
B.
queueType
Indicates the classification or category of a queue that specifies how items in it are organized, prioritized, or processed.
-
C.
poolSize
Indicates the total number of items, resources, or units available within a defined shared pool.
-
D.
instructionQueueLength
Indicates the current number of instructions waiting in a queue to be processed.
-
E.
hasQueue
Indicates that an entity maintains or is associated with a queue, typically representing an ordered list of items or tasks awaiting processing.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cfd54c8190b6f88598339536d1 |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f64a648190a79980d647898eb0 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d7cada7881908beba55a1dc9ecb9 |
completed | April 7, 2026, 10:09 a.m. |
Created at: April 6, 2026, 11:52 a.m.