Triple
T33374502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Animal Science |
E854587
|
entity |
| Predicate | parentInstitutionSpecialization |
P121314
|
FINISHED |
| Object | veterinary medicine |
—
|
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: veterinary medicine | Statement: [Faculty of Animal Science, parentInstitutionSpecialization, veterinary medicine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentInstitutionSpecialization Context triple: [Faculty of Animal Science, parentInstitutionSpecialization, veterinary medicine]
-
A.
institutionSpecialization
Indicates that an institution focuses on, is dedicated to, or has expertise in a particular field, domain, or area of activity.
-
B.
parentInstitution
Indicates that one institution is the higher-level or owning organization to which another institution is subordinate or affiliated.
-
C.
parentOrganizationSpecialty
Indicates that a specialty or sub-discipline is associated with, or falls under the scope of, a broader parent organization.
-
D.
hasParentInstitutionFocus
chosen
Indicates that an institution has a parent organization whose primary area of focus or specialization is being referenced.
-
E.
subjectSpecialization
Indicates that one subject focuses on, or has expertise in, a particular field, topic, or area of knowledge.
- 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_69f3496ca10c8190908640d18fa00832 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: May 1, 2026, 1:35 a.m.