Triple
T9202286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cedar Mill Elementary School |
E220872
|
entity |
| Predicate | hasCompulsoryEducation |
P47422
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Cedar Mill Elementary School, hasCompulsoryEducation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompulsoryEducation Context triple: [Cedar Mill Elementary School, hasCompulsoryEducation, yes]
-
A.
compulsoryEducation
chosen
Indicates that an entity is legally required to participate in a specified level or period of formal education.
-
B.
compulsoryEducationFromAge
Indicates that there is a legal requirement for individuals to begin formal education starting at a specified minimum age.
-
C.
compulsoryEducationToAge
Indicates that an entity is legally required to participate in formal education until reaching a specified age.
-
D.
hasPublicEducationSystem
Indicates that a governing body or region maintains an organized, state-funded system of schools and educational institutions accessible to the general public.
-
E.
compulsoryEducationDurationYears
Indicates the number of years that attending school is legally mandatory.
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd943cfb0819082231d80f0dc073b |
completed | April 1, 2026, 8:37 a.m. |
| PD | Predicate disambiguation | batch_69cc660af2408190ae06eb8326e1c64e |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:26 p.m.