Triple
T4842705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senior Executive Service |
E108213
|
entity |
| Predicate | hasCompensationFeature |
P58774
|
FINISHED |
| Object | pay band system without traditional grades |
—
|
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: pay band system without traditional grades | Statement: [Senior Executive Service, hasCompensationFeature, pay band system without traditional grades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompensationFeature Context triple: [Senior Executive Service, hasCompensationFeature, pay band system without traditional grades]
-
A.
hasFeatureCode
Indicates that an entity is associated with a specific feature identifier or code that characterizes one of its properties or attributes.
-
B.
compensationModel
chosen
Indicates the type or structure of payment or rewards provided in exchange for work, services, or performance.
-
C.
hasComplication
Indicates that an entity is associated with a problem, difficulty, or adverse outcome arising as a consequence of another condition, action, or process.
-
D.
hasBenefit
Indicates that one entity provides an advantage, improvement, or positive outcome to another entity.
-
E.
compensated
Indicates that one entity provides payment or some form of recompense to another entity in return for goods, services, or loss incurred.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2375a4819098e16acb982c8fab |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.