Triple
T17647310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Sylvester’s School |
E429392
|
entity |
| Predicate | targetStudentDemographic |
P11007
|
FINISHED |
| Object | young women |
—
|
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: young women | Statement: [Miss Sylvester’s School, targetStudentDemographic, young women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetStudentDemographic Context triple: [Miss Sylvester’s School, targetStudentDemographic, young women]
-
A.
targetStudentGroup
chosen
Indicates a relationship where something is directed, tailored, or intended specifically for a particular group of students.
-
B.
typicalStudentDemographic
Indicates the usual or most common demographic group (e.g., age, background, characteristics) that students of a given institution, program, or course belong to.
-
C.
targetStudentService
Indicates a relationship where a particular student is the intended recipient or focus of a specific service or support action.
-
D.
primaryStudentPopulation
Indicates the number or group of students who are enrolled at the primary or elementary level within an educational institution or system.
-
E.
targetStudentAbility
Indicates a relationship where a target student possesses, demonstrates, or is characterized by a particular ability or skill.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e3a5ad8819085d4bef669fc3152 |
completed | April 19, 2026, 5:55 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 6:05 a.m.