Triple
T18789815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Liberal Arts |
E459479
|
entity |
| Predicate | parentInstitutionReligiousAffiliation |
P130027
|
FINISHED |
| Object | Catholic |
—
|
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: Catholic | Statement: [School of Liberal Arts, parentInstitutionReligiousAffiliation, Catholic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentInstitutionReligiousAffiliation Context triple: [School of Liberal Arts, parentInstitutionReligiousAffiliation, Catholic]
-
A.
hasParentInstitutionReligiousAffiliation
chosen
Indicates that an institution’s parent organization is associated with a particular religious affiliation.
-
B.
associatedSchoolOfReligion
Indicates that an entity is connected with or belongs to a particular school or tradition within a religion.
-
C.
hasReligiousInstitutionType
Indicates that an entity is associated with, or classified by, a specific type of religious institution.
-
D.
religiousAffiliation
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
E.
parentInstitution
Indicates that one institution is the higher-level or owning organization to which another institution is subordinate or affiliated.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e59784c5988190851755b7f47835e5 |
completed | April 20, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:53 a.m.