Triple
T8168728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of New Rochelle |
E190760
|
entity |
| Predicate | coeducationStatusChange |
P12428
|
FINISHED |
| Object | transitioned from women-only to coeducational |
—
|
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: transitioned from women-only to coeducational | Statement: [College of New Rochelle, coeducationStatusChange, transitioned from women-only to coeducational]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coeducationStatusChange Context triple: [College of New Rochelle, coeducationStatusChange, transitioned from women-only to coeducational]
-
A.
hasCoeducation
chosen
Indicates that an educational institution includes both male and female students together in its instructional programs.
-
B.
hasStatusInEducation
Indicates that an entity holds a particular educational status or standing within an educational system, program, or institution.
-
C.
formerGenderAdmission
Indicates that an institution previously admitted a particular gender but no longer does so.
-
D.
academicStatus
Indicates the educational or scholarly standing or level an entity holds within an academic context.
-
E.
educationStatus
Indicates the current or achieved level, stage, or condition of an entity’s formal education.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb466abfe48190b4eb2f23b1e28668 |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb36a4c40c81909f60aef0e1624c13 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:39 p.m.