Triple
T27731441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System.CLSCompliantAttribute |
E697438
|
entity |
| Predicate | isRuntimeEnforced |
P163122
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [System.CLSCompliantAttribute, isRuntimeEnforced, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRuntimeEnforced Context triple: [System.CLSCompliantAttribute, isRuntimeEnforced, false]
-
A.
enablesEnforcementOf
Indicates that one entity provides the authority, means, or conditions necessary for another entity to carry out enforcement actions or apply rules.
-
B.
hasEnforcementDimension
Indicates that an action, rule, or agreement includes an aspect related to how it is enforced or implemented in practice.
-
C.
enforcedOn
Indicates that a rule, policy, or constraint is applied with authority to a particular target or subject.
-
D.
licenseEnforced
Indicates that a license’s terms or restrictions are actively applied and upheld in relation to the associated entity or activity.
-
E.
runTimeSupport
Indicates that one entity provides or requires support for another entity during its execution at run time.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6369cf78c81909637517b79530faf |
completed | May 2, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 3:11 p.m.