Triple
T33025330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary M. Knight School |
E845026
|
entity |
| Predicate | hasCompulsoryEducationGrades |
P44085
|
FINISHED |
| Object | 1–8 |
—
|
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: 1–8 | Statement: [Mary M. Knight School, hasCompulsoryEducationGrades, 1–8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompulsoryEducationGrades Context triple: [Mary M. Knight School, hasCompulsoryEducationGrades, 1–8]
-
A.
compulsoryEducationToAge
Indicates that an entity is legally required to participate in formal education until reaching a specified age.
-
B.
compulsoryEducationFromAge
Indicates that there is a legal requirement for individuals to begin formal education starting at a specified minimum age.
-
C.
hasSchoolYears
chosen
Indicates a relationship where an educational institution is associated with specific academic years or grade levels it offers or covers.
-
D.
hasNonCompulsoryEducationPart
Indicates that an entity includes or is associated with an educational component that is optional rather than legally or formally required.
-
E.
hasPrimarySchoolLevel
Indicates that an entity possesses or is associated with a primary (elementary) level of schooling or education.
- 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:23 a.m.