Triple
T21626125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Peninsula Area State College |
E533706
|
entity |
| Predicate | offersCompulsoryEducation |
P145270
|
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: [Northern Peninsula Area State College, offersCompulsoryEducation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersCompulsoryEducation Context triple: [Northern Peninsula Area State College, offersCompulsoryEducation, yes]
-
A.
compulsoryEducation
Indicates that an entity is legally required to participate in a specified level or period of formal education.
-
B.
compulsoryEducationPartOf
Indicates that a specified educational stage or component is included within, and constitutes a required part of, a system of compulsory education.
-
C.
compulsoryEducationFromAge
Indicates that there is a legal requirement for individuals to begin formal education starting at a specified minimum age.
-
D.
offersDaySchooling
Indicates that an entity provides daytime educational services without overnight accommodation.
-
E.
offersBasicEducationComponent
Indicates that an entity provides a fundamental or introductory educational component as part of its offerings.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52131f2c8190b9966adf43a0fe4f |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69cb4bcbc8190a4fc2d508df107be |
completed | April 20, 2026, 9:37 p.m. |
Created at: April 16, 2026, 6:34 p.m.