Triple
T21815241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Korean education system |
E538588
|
entity |
| Predicate | privateSchools |
P52289
|
FINISHED |
| Object | not permitted |
—
|
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: not permitted | Statement: [North Korean education system, privateSchools, not permitted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: privateSchools Context triple: [North Korean education system, privateSchools, not permitted]
-
A.
publicSchool
Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
-
B.
schoolSector
chosen
Indicates the educational sector or category (such as public, private, or charter) to which a school belongs.
-
C.
publicSchoolServedBy
Indicates that a particular public school receives services, support, or operations from a specified provider or organization.
-
D.
nationalSchool
Indicates that a school is designated, administered, or officially recognized at the national (country-wide) level rather than local or regional.
-
E.
schoolBoard
Indicates that an entity serves as or is governed by a school board responsible for overseeing educational policies and administration.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc99bbc8190bf074930f361af7d |
completed | April 28, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:54 p.m.