Triple
T13889471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BPS-2 |
E333931
|
entity |
| Predicate | paySystemType |
P84088
|
FINISHED |
| Object | graded 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: graded pay scale | Statement: [BPS-2, paySystemType, graded pay scale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paySystemType Context triple: [BPS-2, paySystemType, graded pay scale]
-
A.
paySystem
Indicates that one entity provides monetary or other compensation to another entity through a particular method, platform, or mechanism.
-
B.
paymentSystem
Indicates a relationship where one entity functions as a mechanism or platform through which another entity makes or processes payments.
-
C.
paymentNetworkType
Indicates the type or category of payment network through which a payment is processed or routed.
-
D.
payType
chosen
Indicates the method or category of payment used in a transaction or compensation arrangement.
-
E.
paySystemComparableTo
Indicates that one entity’s pay system is similar or equivalent in structure, level, or fairness to that 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a3a24881908d81d634622fbbcc |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69dd464b1ab48190ae50bfc902bf6ef7 |
completed | April 13, 2026, 7:38 p.m. |
Created at: April 9, 2026, 10:15 p.m.