Triple
T27592527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PodTopologySpread |
E699814
|
entity |
| Predicate | graduatedTo |
P163294
|
FINISHED |
| Object | generally available in later Kubernetes versions |
—
|
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: generally available in later Kubernetes versions | Statement: [PodTopologySpread, graduatedTo, generally available in later Kubernetes versions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graduatedTo Context triple: [PodTopologySpread, graduatedTo, generally available in later Kubernetes versions]
-
A.
graduatedTo
Indicates that one entity has successfully completed a course of study or training program at another entity and obtained a formal qualification or degree from it.
-
B.
academyGraduateOf
Indicates that a person has graduated from or successfully completed a program at a particular academy.
-
C.
graduation
Indicates that an entity has successfully completed an educational program and received a corresponding degree or qualification.
-
D.
educatedAt
Indicates that an entity received education or formal training at a specified institution or place of learning.
-
E.
formerlyHadEducationalInstitution
Indicates that an entity once hosted or contained a particular educational institution, but that institution is no longer present or active there.
- 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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6397b64f881909d811225e57aac5e |
completed | May 2, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63893cc188190883ac9321a95d2dc |
completed | May 2, 2026, 5:46 p.m. |
Created at: April 27, 2026, 2:05 p.m.