Triple
T1935181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gatekeeper |
E41427
|
entity |
| Predicate | configurationLevel |
P33687
|
FINISHED |
| Object | per-system |
—
|
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: per-system | Statement: [Gatekeeper, configurationLevel, per-system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: configurationLevel Context triple: [Gatekeeper, configurationLevel, per-system]
-
A.
automationLevel
Indicates the degree to which a process, task, or system is performed automatically rather than manually.
-
B.
commandLevel
Indicates the hierarchical degree of authority or control one entity holds over another within a command structure.
-
C.
classificationLevel
Indicates the degree or tier within an ordered system or hierarchy to which something is assigned for categorization or control purposes.
-
D.
coversLevel
Indicates that one entity includes or encompasses a particular level or layer of another entity or system.
-
E.
documentationLevel
Indicates the extent or thoroughness to which something is described, specified, or supported by written or recorded documentation.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb29c7be08190986df157bf5d7c9e |
completed | March 7, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69abaff07cf88190b4883c5f17f90abd |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb25ef0ec8190b907963e9db0fe04 |
completed | March 7, 2026, 5:06 a.m. |
Created at: March 4, 2026, 7:35 p.m.