Triple
T4077732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memorial Day |
E87404
|
entity |
| Predicate | dayOffFor |
P3156
|
FINISHED |
| Object | most federal employees in the United States |
—
|
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: most federal employees in the United States | Statement: [Memorial Day, dayOffFor, most federal employees in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dayOffFor Context triple: [Memorial Day, dayOffFor, most federal employees in the United States]
-
A.
holidaySchedule
Indicates the planned dates, times, and durations during which holidays occur or are observed.
-
B.
holidayType
Indicates the specific category or kind of holiday associated with an event or date (e.g., public, religious, national, or personal).
-
C.
isFederalHoliday
Indicates that a given day is officially recognized as a federal holiday by the national government.
-
D.
isWorkHoliday
chosen
Indicates that a given day is designated as a non-working public or company holiday.
-
E.
hasOfficialHoliday
Indicates that a particular date, event, or period is formally recognized as an official holiday by an authority or governing body.
- 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc4d348c8190a94724639830aca0 |
completed | March 9, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69aef9082c2081908474f082a49bebc8 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:39 p.m.