Triple
T33230910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juneteenth National Independence Day Act |
E850688
|
entity |
| Predicate | createsHolidayFor |
P198832
|
FINISHED |
| Object | federal employees |
—
|
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: federal employees | Statement: [Juneteenth National Independence Day Act, createsHolidayFor, federal employees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createsHolidayFor Context triple: [Juneteenth National Independence Day Act, createsHolidayFor, federal employees]
-
A.
holidayNameCreated
Indicates that a particular holiday was created, defined, or established with the given name.
-
B.
fictionalHolidayCreator
Indicates that an entity is the originator or inventor of a fictional or imaginary holiday.
-
C.
holidayRole
Indicates the specific function, duty, or part an entity plays in relation to a holiday or holiday-related event.
-
D.
holidayType
Indicates the specific category or kind of holiday associated with an event or date (e.g., public, religious, national, or personal).
-
E.
mentionsHoliday
Indicates that one entity refers to or brings up a holiday in relation to another entity or context.
- 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_69f349613f988190a1eb75467d167122 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff0d80c0dc81909fbd12285c7a45c0 |
completed | May 9, 2026, 10:33 a.m. |
| PD | Predicate disambiguation | batch_69ff0cd03e78819094895058f925fbfa |
completed | May 9, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69ff0d800ee88190835e233d9e846cdb |
completed | May 9, 2026, 10:33 a.m. |
Created at: May 1, 2026, 1:30 a.m.