Triple
T8567519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fontainebleau Schools |
E202842
|
entity |
| Predicate | hasStudentDemographic |
P7875
|
FINISHED |
| Object | American music students |
—
|
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: American music students | Statement: [Fontainebleau Schools, hasStudentDemographic, American music students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentDemographic Context triple: [Fontainebleau Schools, hasStudentDemographic, American music students]
-
A.
hasDemographic
chosen
Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
-
B.
hasDiverseStudentBody
Indicates that an educational institution’s student population includes a wide range of backgrounds, characteristics, or identities.
-
C.
hasStudentEnrollment
Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
-
D.
studentPopulationLevel
Indicates the relative size or magnitude of the student population associated with an entity.
-
E.
hasDemographicPattern
Indicates that there is a characteristic distribution or trend of attributes (such as age, gender, income, or ethnicity) within a population or group.
- 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.