Triple
T8288059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System Center Configuration Manager |
E193828
|
entity |
| Predicate | supportsScale |
P79560
|
FINISHED |
| Object | large enterprise environments |
—
|
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: large enterprise environments | Statement: [System Center Configuration Manager, supportsScale, large enterprise environments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsScale Context triple: [System Center Configuration Manager, supportsScale, large enterprise environments]
-
A.
coversScale
chosen
Indicates that one entity spans, includes, or applies across the full range or extent of another entity’s scale.
-
B.
hasScale
Indicates that one entity possesses or is characterized by a scale or graduated measurement system related to another entity.
-
C.
scalesWith
Indicates that a change in one quantity is systematically associated with a proportional or otherwise dependent change in another quantity.
-
D.
requiresFeatureScaling
Indicates that applying feature scaling is a necessary preprocessing step for the associated data or model.
-
E.
hasScales
Indicates that an entity possesses scales as a surface covering or body feature.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad4b2008190ad1624e1335147c6 |
completed | March 31, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69cb70b5b5348190b296e0ecec95de60 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:52 p.m.