Triple
T36812157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emory, Virginia |
E909622
|
entity |
| Predicate | hasReligiousAffiliationViaCollege |
P27867
|
FINISHED |
| Object | Methodist |
—
|
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: Methodist | Statement: [Emory, Virginia, hasReligiousAffiliationViaCollege, Methodist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligiousAffiliationViaCollege Context triple: [Emory, Virginia, hasReligiousAffiliationViaCollege, Methodist]
-
A.
hasParentInstitutionReligiousAffiliation
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.
hasCollegeMinistry
Indicates that an entity offers or is associated with a ministry program specifically serving college or university students.
-
D.
religiousCampus
Indicates that a campus is affiliated with, governed by, or primarily dedicated to a particular religion or religious organization.
-
E.
hasAssociatedReligion
chosen
Indicates that an entity is connected with or linked to a particular religion.
- 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_69f76e7cbbf48190891227b14d041139 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:13 p.m.