Triple
T27591769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argo |
E699801
|
entity |
| Predicate | primaryDeploymentPattern |
P4119
|
FINISHED |
| Object | GitOps |
—
|
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: GitOps | Statement: [Argo, primaryDeploymentPattern, GitOps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryDeploymentPattern Context triple: [Argo, primaryDeploymentPattern, GitOps]
-
A.
primaryDeployment
Indicates that one deployment is designated as the main or most important deployment among multiple possible deployments for an entity.
-
B.
distributionPattern
Indicates the characteristic way in which something is spread, arranged, or allocated across a space, group, or set.
-
C.
primaryServicePattern
Indicates the main or most typical way in which a service is delivered, structured, or utilized within a given context.
-
D.
typicalDeployment
chosen
Indicates that one entity represents the standard or most commonly used deployment configuration or pattern for the other entity.
-
E.
deploymentBasis
Indicates the foundational rationale, conditions, or criteria on which a deployment is planned, justified, or carried out.
- 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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69ff63e6b61081909c648bf0ff279481 |
completed | May 9, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69ff6381867881908ae0545df4b71df5 |
completed | May 9, 2026, 4:40 p.m. |
Created at: April 27, 2026, 2:05 p.m.