Triple
T24244270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sisters of Notre Dame de Namur |
E603317
|
entity |
| Predicate | typeOfEducationInstitutions |
P177
|
FINISHED |
| Object | primary 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: primary schools | Statement: [Sisters of Notre Dame de Namur, typeOfEducationInstitutions, primary schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEducationInstitutions Context triple: [Sisters of Notre Dame de Namur, typeOfEducationInstitutions, primary schools]
-
A.
educationType
chosen
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
B.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
C.
academicInstitutionType
Indicates the specific category or kind of academic institution an entity is classified as (e.g., university, college, high school).
-
D.
educationField
Indicates the academic or professional discipline in which an entity has been educated or trained.
-
E.
typeOfUniversity
Indicates the specific category or classification of a university (e.g., public, private, technical, etc.) that an institution belongs to.
- 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_69e2953f631c819097cbb421046bd417 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28b82e13c819083ca524e47ed66b1 |
completed | April 29, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:04 a.m.