Triple
T17675536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Active Job |
E440633
|
entity |
| Predicate | defaultQueueName |
P66254
|
FINISHED |
| Object | default |
—
|
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: default | Statement: [Active Job, defaultQueueName, default]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defaultQueueName Context triple: [Active Job, defaultQueueName, default]
-
A.
virtualQueueName
Indicates the name assigned to a specific virtual queue used to organize or route items, tasks, or participants.
-
B.
defaultQValue
Indicates the standard or initial Q-value assigned to a state-action pair before any learning or updates occur in a reinforcement learning process.
-
C.
defaultNameValue
chosen
Indicates that an entity is assigned a standard or fallback name value used when no specific name has been provided.
-
D.
usesQueue
Indicates that one entity employs or relies on a queue mechanism to manage or process items, tasks, or messages.
-
E.
defaultPort
Indicates that one entity serves as the standard or preconfigured communication port used by another entity unless explicitly overridden.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6cca54819094ea0bed1517724e |
completed | April 19, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10 a.m.