Triple
T12320439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Richmond School of Law |
E293713
|
entity |
| Predicate | isProfessionalGraduateInstitution |
P104445
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [University of Richmond School of Law, isProfessionalGraduateInstitution, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isProfessionalGraduateInstitution Context triple: [University of Richmond School of Law, isProfessionalGraduateInstitution, true]
-
A.
isProfessionalSchoolOf
Indicates that one institution functions as a professional-level school (e.g., law, medicine, business) that is academically affiliated with or operated by another institution.
-
B.
academyGraduateOf
Indicates that a person has graduated from or successfully completed a program at a particular academy.
-
C.
hasProfessionalStatus
Indicates that an entity holds a particular professional standing, rank, or qualification within a field or occupation.
-
D.
isAssociatedWithProfessionOfBearer
Indicates that one entity is connected to, or involved with, the profession or occupational role held by another entity.
-
E.
hasProfessionalAlumni
Indicates that an institution or organization has alumni who have gone on to work in a specified profession or professional field.
- F. None of above. chosen
Provenance (4 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.