Triple
T2214677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labor Day weekend |
E47997
|
entity |
| Predicate | schoolPattern |
P36843
|
FINISHED |
| Object | many U.S. schools start academic year around this time |
—
|
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: many U.S. schools start academic year around this time | Statement: [Labor Day weekend, schoolPattern, many U.S. schools start academic year around this time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolPattern Context triple: [Labor Day weekend, schoolPattern, many U.S. schools start academic year around this time]
-
A.
schoolBoard
Indicates that an entity serves as or is governed by a school board responsible for overseeing educational policies and administration.
-
B.
schoolSystemType
Indicates the classification or organizational model of a school system (e.g., public, private, charter, or other structural type).
-
C.
school
Indicates that an entity attends, is enrolled in, or is institutionally associated as a student with a particular school.
-
D.
schoolDayType
Indicates the classification of a given day according to its role in the school calendar (e.g., regular school day, holiday, exam day, etc.).
-
E.
schoolAttended
Indicates that one entity has attended, or been enrolled as a student at, the school represented by the other 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbfef875c8190b642736b4cc11d4c |
completed | March 7, 2026, 6:04 a.m. |
| PD | Predicate disambiguation | batch_69abbdaa26d48190860c33fd464c4845 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbf0c2b8881908553eed5be17a9c2 |
completed | March 7, 2026, 6 a.m. |
Created at: March 4, 2026, 7:46 p.m.