Triple
T17675552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Active Job |
E440633
|
entity |
| Predicate | supportsQueueAdapters |
P127917
|
FINISHED |
| Object | symbol-based adapter configuration |
—
|
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: symbol-based adapter configuration | Statement: [Active Job, supportsQueueAdapters, symbol-based adapter configuration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsQueueAdapters Context triple: [Active Job, supportsQueueAdapters, symbol-based adapter configuration]
-
A.
usesQueue
Indicates that one entity employs or relies on a queue mechanism to manage or process items, tasks, or messages.
-
B.
supportsAgents
Indicates that one entity provides assistance, resources, or backing to agents so they can perform their roles or actions.
-
C.
alsoSupports
chosen
Indicates that an entity, in addition to its primary or previously stated function, provides support for another entity, feature, or activity.
-
D.
supportedFleet
Indicates that one entity provided assistance, resources, or services to sustain or enable the operations of a fleet.
-
E.
supportsAt
Indicates that one entity provides assistance, endorsement, or backing to another entity in a specific context, location, or point in time.
- 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.