Triple
T7938862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | kube-apiserver |
E184343
|
entity |
| Predicate | roleInCluster |
P79904
|
FINISHED |
| Object | central control plane entry point |
—
|
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: central control plane entry point | Statement: [kube-apiserver, roleInCluster, central control plane entry point]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCluster Context triple: [kube-apiserver, roleInCluster, central control plane entry point]
-
A.
roleInOperation
Indicates that an entity holds a specific function, duty, or position within a particular operation or activity.
-
B.
roleOfGroup
Indicates the function, responsibility, or position that a group holds within a broader context or structure.
-
C.
roleInSwarm
Indicates the specific function or position an entity holds within a coordinated swarm or collective group.
-
D.
roleInClub
Indicates that an entity holds a specific position or function within a particular club.
-
E.
CDCRole
Indicates that one entity holds a specific role or function within a clinical data collection (CDC) context relative to another entity.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3af0a2048190838d1aeda59fda0b |
completed | March 31, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69cae93526d081909303265bf60419fd |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7882b048190baa333af9f698590 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:08 p.m.