Triple
T1331088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidwell Friends School |
E28644
|
entity |
| Predicate | isDayOrBoardingSchool |
P19184
|
FINISHED |
| Object | day school |
—
|
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: day school | Statement: [Sidwell Friends School, isDayOrBoardingSchool, day school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDayOrBoardingSchool Context triple: [Sidwell Friends School, isDayOrBoardingSchool, day school]
-
A.
hasDayStudents
Indicates that an educational institution has students who attend during the day but do not reside on campus.
-
B.
hasSchool
Indicates that an entity possesses, is associated with, or is served by a particular school.
-
C.
hasSchoolCategory
chosen
Indicates that an entity (such as a school or educational institution) is associated with a particular category or type of 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.
isStudiedIn
Indicates that a subject (such as a topic, field, or phenomenon) is examined, researched, or learned about within a particular context, environment, or discipline.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c5f86c819098e98b046968954a |
completed | March 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69a4beef6a188190996f8775bdda8f6c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.