Triple
T6230740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Work-Study |
E139344
|
entity |
| Predicate | authorizationLevel |
P69042
|
FINISHED |
| Object | subject to federal appropriations |
—
|
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: subject to federal appropriations | Statement: [Federal Work-Study, authorizationLevel, subject to federal appropriations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorizationLevel Context triple: [Federal Work-Study, authorizationLevel, subject to federal appropriations]
-
A.
authorityGranted
Indicates that one entity has formally given another entity the power, rights, or permission to act or make decisions, typically within a defined scope or context.
-
B.
legalAuthorityLevel
Indicates the degree or rank of formal legal power or jurisdiction an entity holds in relation to another or within a given context.
-
C.
designationLevel
Indicates the specific rank, tier, or level assigned to an entity within a designation or classification system.
-
D.
accessRole
Indicates the specific permissions or level of authority an entity has when accessing another entity or resource.
-
E.
accessStatus
Indicates the current level or state of permission or availability for accessing a resource or entity.
- F. None of above. chosen
Provenance (4 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062ec5be4819084d6df2e8dd2a542 |
completed | March 22, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69c055ffdf54819086d987d646e44ff5 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056c965ac8190b938502fa8c74e1b |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:22 p.m.