Triple
T27363424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gülen movement |
E685886
|
entity |
| Predicate | educationalInstitutions |
P46882
|
FINISHED |
| Object | private schools |
—
|
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: private schools | Statement: [Gülen movement, educationalInstitutions, private schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationalInstitutions Context triple: [Gülen movement, educationalInstitutions, private schools]
-
A.
educationInstitutionNearby
Indicates that an educational institution is located close to a specified place or entity.
-
B.
educationFacility
chosen
Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
-
C.
educationalSector
Indicates a relationship in which something is part of, associated with, or operates within the education or schooling domain.
-
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.
hasMajorEducationalInstitutions
Indicates that the subject possesses or hosts significant higher-level educational organizations or facilities, such as universities or major colleges.
- 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_69ef14887c288190931b8431fdbf53c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 27, 2026, 11:54 a.m.