Triple
T28615338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Server and Client Access License |
E724259
|
entity |
| Predicate | nonComplianceRisk |
P7914
|
FINISHED |
| Object | software audit findings |
—
|
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: software audit findings | Statement: [Server and Client Access License, nonComplianceRisk, software audit findings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonComplianceRisk Context triple: [Server and Client Access License, nonComplianceRisk, software audit findings]
-
A.
riskIfNoncompliance
chosen
Indicates that a risk or negative consequence will occur if the specified rules, requirements, or obligations are not complied with.
-
B.
socialRisk
Indicates the degree to which an action, relationship, or situation exposes someone to potential negative social consequences, such as loss of status, reputation, or acceptance.
-
C.
riskType
Indicates the category or nature of risk associated with an entity, event, or relationship.
-
D.
legalStatusOfNoncompliance
Indicates the legal characterization or consequences assigned to an instance of noncompliance with a rule, law, or obligation.
-
E.
hasRiskFrom
Indicates that one entity is exposed to or may suffer potential harm, loss, or adverse effects as a result of another entity.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:31 a.m.