Triple
T30694505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Page Corps |
E781419
|
entity |
| Predicate | admittedStudentsFrom |
P88189
|
FINISHED |
| Object | Russian nobility |
—
|
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: Russian nobility | Statement: [Page Corps, admittedStudentsFrom, Russian nobility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: admittedStudentsFrom Context triple: [Page Corps, admittedStudentsFrom, Russian nobility]
-
A.
admittedStudents
Indicates that certain students have been officially accepted or granted admission to an institution, program, or course.
-
B.
admitsStudentsFrom
chosen
Indicates that an educational institution accepts or enrolls students who come from a specified source, such as a school, region, or program.
-
C.
admissionsSystem
Indicates a relationship where an entity functions as or is associated with a system that manages or processes admissions decisions or applications.
-
D.
boardingStudents
Indicates that certain students reside at and are accommodated by an educational institution, typically living on campus rather than commuting.
-
E.
UNAdmissionDate
Indicates the date on which an entity was officially admitted as a member of the United Nations.
- 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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68bda88048190bdd6992094c7644d |
completed | May 2, 2026, 11:42 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:33 p.m.