Triple
T27572377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Application Policy Infrastructure Controller |
E696068
|
entity |
| Predicate | highAvailability |
P7415
|
FINISHED |
| Object | provided through controller clustering |
—
|
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: provided through controller clustering | Statement: [Application Policy Infrastructure Controller, highAvailability, provided through controller clustering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highAvailability Context triple: [Application Policy Infrastructure Controller, highAvailability, provided through controller clustering]
-
A.
highReCharacteristic
Indicates that an entity exhibits a high Reynolds number characteristic, typically implying flow dominated by inertial rather than viscous forces.
-
B.
availability
chosen
Indicates that an entity is present, accessible, or ready for use or interaction by another entity.
-
C.
hasHigh
Indicates that an entity possesses a high level, degree, or intensity of a specified attribute or property.
-
D.
hasHighBay
Indicates that an entity is equipped with or contains a high-bay area or high-bay facility.
-
E.
designedForHighCapacity
Indicates that something is intentionally created or configured to handle a large volume, load, or throughput.
- 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62fed98888190bdc01137b65acbb6 |
completed | May 2, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 1:43 p.m.