Triple
T30441774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | アメリカ合衆国ミシガン州リボニア市 |
E774463
|
entity |
| Predicate | 教育 |
P85893
|
FINISHED |
| Object | 公立学校区が存在する |
—
|
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: 公立学校区が存在する | Statement: [アメリカ合衆国ミシガン州リボニア市, 教育, 公立学校区が存在する]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 教育 Context triple: [アメリカ合衆国ミシガン州リボニア市, 教育, 公立学校区が存在する]
-
A.
освіта
chosen
Indicates that one entity provides, has, or is associated with the education or educational background of another entity.
-
B.
educationAndCulture
Indicates a relationship where activities, policies, or influences connect educational processes with cultural development, preservation, or expression.
-
C.
commonEducation
Indicates that two or more entities share at least one educational experience in common, such as attending the same school, program, or course.
-
D.
educationSystem
Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
-
E.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
- 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6869948e481908901dbda23952cc0 |
completed | May 2, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:08 p.m.