Triple
T2335866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CQF |
E44307
|
entity |
| Predicate | queueOperation |
P689
|
FINISHED |
| Object | cyclic open-and-close of transmission queues |
—
|
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: cyclic open-and-close of transmission queues | Statement: [CQF, queueOperation, cyclic open-and-close of transmission queues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: queueOperation Context triple: [CQF, queueOperation, cyclic open-and-close of transmission queues]
-
A.
queueType
Indicates the classification or category of a queue that specifies how items in it are organized, prioritized, or processed.
-
B.
operationOf
Indicates that one entity is the function, activity, or process carried out by another entity (such as a system, device, or organization).
-
C.
operationType
chosen
Indicates the specific kind of operation or action being performed or recorded in the relationship between entities.
-
D.
inOperationFrom
Indicates that an entity (such as a facility, service, or system) is actively functioning or available starting from a specified point in time.
-
E.
operation
Indicates that one entity performs, carries out, or controls the functioning of another entity or system.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| PD | Predicate disambiguation | batch_69abc594087c819098100a10c5478a4b |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:51 p.m.