Triple
T11978550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Law No. 6595 of Turkey |
E285096
|
entity |
| Predicate | typeOfEducationInstitutionEstablished |
P57098
|
FINISHED |
| Object | higher education institution |
—
|
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: higher education institution | Statement: [Law No. 6595 of Turkey, typeOfEducationInstitutionEstablished, higher education institution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEducationInstitutionEstablished Context triple: [Law No. 6595 of Turkey, typeOfEducationInstitutionEstablished, higher education institution]
-
A.
schoolTypeFounded
chosen
Indicates the type or category of school that was established or created in a founding event.
-
B.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
-
C.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
D.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
E.
schoolFounded
Indicates that an educational institution was established or created at a specific time or by a particular founding entity.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903acbb9081908fe7f8360057785c |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.