Triple
T8567540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fontainebleau Schools |
E202842
|
entity |
| Predicate | hasCurriculumEmphasis |
P76018
|
FINISHED |
| Object | French repertoire |
—
|
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: French repertoire | Statement: [Fontainebleau Schools, hasCurriculumEmphasis, French repertoire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCurriculumEmphasis Context triple: [Fontainebleau Schools, hasCurriculumEmphasis, French repertoire]
-
A.
usesCurriculum
Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
-
B.
hasCurriculumArea
chosen
Indicates that an educational program, course, or learning activity is associated with a specific curriculum area or subject domain.
-
C.
curriculumType
Indicates the classification or category of curriculum associated with an educational program or course.
-
D.
curriculumIncluded
Indicates that a particular subject, topic, or component is part of a defined curriculum or course of study.
-
E.
hasCurricularStructure
Indicates that an educational program or course is organized according to a defined curricular framework or structure.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d5d4ac8190a4d74c88b872d0b7 |
completed | March 31, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69cbd11856048190a1ce4b83a38f6965 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:21 p.m.