Triple
T13924284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BPS-20 |
E334821
|
entity |
| Predicate | payScaleType |
P56782
|
FINISHED |
| Object | basic pay scale |
—
|
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: basic pay scale | Statement: [BPS-20, payScaleType, basic pay scale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: payScaleType Context triple: [BPS-20, payScaleType, basic pay scale]
-
A.
salaryType
Indicates the classification or structure of compensation associated with an entity, such as whether pay is salaried, hourly, commission-based, or another type.
-
B.
payScale
chosen
Indicates the compensation level or salary range assigned to an entity, typically reflecting its relative pay or grade within a structured system.
-
C.
payGrade
Indicates the level or category of compensation assigned to an entity, typically reflecting its rank, role, or seniority in a pay structure.
-
D.
payGradeComparison
Indicates that the relative pay grade or salary level between two entities is being compared (e.g., one is higher, lower, or equal to the other).
-
E.
typeOfMinimumWage
Indicates the specific category or kind of minimum wage that applies in a given context (e.g., by sector, worker type, or legal framework).
- 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.