Triple
T8766253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notre Dame Academy (Toledo, Ohio) |
E208345
|
entity |
| Predicate | isNonPublicSchool |
P85263
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Notre Dame Academy (Toledo, Ohio), isNonPublicSchool, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonPublicSchool Context triple: [Notre Dame Academy (Toledo, Ohio), isNonPublicSchool, true]
-
A.
isOnlySchoolOfDistrict
Indicates that the school is the sole educational institution within its district.
-
B.
isPublicInstitution
Indicates that an entity operates as a publicly governed or state-funded institution, typically serving the general public under public law or oversight.
-
C.
isComprehensiveSchool
Indicates that a school operates as a comprehensive school, providing a broad, non-selective curriculum to students of varying abilities and backgrounds.
-
D.
hasSpecializedSchool
Indicates that an entity operates or is associated with a school focused on a specific field, discipline, or specialized type of education.
-
E.
isCampusOfPrivateUniversity
Indicates that a location or site functions as the campus belonging to a privately operated university.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ee97fd0819087ef8fe14b37ae43 |
completed | March 31, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1884bc8190a46e8308db31f7ab |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:41 p.m.