Triple
T13924177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BPS-4 |
E334818
|
entity |
| Predicate | jobSecurityLevel |
P84572
|
FINISHED |
| Object | relatively high compared to private sector entry-level jobs |
—
|
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: relatively high compared to private sector entry-level jobs | Statement: [BPS-4, jobSecurityLevel, relatively high compared to private sector entry-level jobs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jobSecurityLevel Context triple: [BPS-4, jobSecurityLevel, relatively high compared to private sector entry-level jobs]
-
A.
securityGuarantee
Indicates a commitment by one party to protect or defend another party against specified threats or risks.
-
B.
typicalSecurityLevel
Indicates the usual or standard security level that is generally applied or expected in a given context or system.
-
C.
securityLevelDetail
chosen
Indicates the specific classification or degree of security associated with an entity, often including nuanced or descriptive information about its protection level.
-
D.
securedAgainst
Indicates that one entity is protected or safeguarded against threats, risks, or harmful actions originating from another entity or source.
-
E.
protectionLevel
Indicates the degree or extent to which something is safeguarded against harm, risk, or unauthorized access.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa6cd9881908f652538f4613f37 |
completed | April 14, 2026, 11:53 a.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:16 p.m.