Triple
T6230724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Work-Study |
E139344
|
entity |
| Predicate | workHoursLimit |
P69039
|
FINISHED |
| Object | typically limited to part-time during enrollment |
—
|
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: typically limited to part-time during enrollment | Statement: [Federal Work-Study, workHoursLimit, typically limited to part-time during enrollment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workHoursLimit Context triple: [Federal Work-Study, workHoursLimit, typically limited to part-time during enrollment]
-
A.
workPeriod
Indicates the span of time during which an entity is engaged in a particular work or employment activity.
-
B.
workPermitted
Indicates that one entity is allowed or authorized to perform work or employment-related activities in relation to another entity or within a given context.
-
C.
workSettingPeriod
Indicates the time period during which a particular work setting or employment context is in effect.
-
D.
workLength
Indicates the duration or length of time associated with a particular work or task.
-
E.
worksOver
Indicates that one entity performs work that extends beyond or exceeds a certain limit, threshold, or standard associated with another 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.