Triple
T35835776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethical Society of St. Louis |
E1035930
|
entity |
| Predicate | hasFellowshipType |
P98114
|
FINISHED |
| Object | non-theistic fellowship |
—
|
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: non-theistic fellowship | Statement: [Ethical Society of St. Louis, hasFellowshipType, non-theistic fellowship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFellowshipType Context triple: [Ethical Society of St. Louis, hasFellowshipType, non-theistic fellowship]
-
A.
indicatesFellowshipIn
chosen
Indicates that one entity holds a fellowship position, membership, or sponsored research role within another entity (such as an institution, organization, or program).
-
B.
hasAffiliationType
Indicates that one entity is connected to another through a specified kind or category of affiliation or association.
-
C.
hasScholarshipOn
Indicates that one entity provides or holds a scholarship related to another entity, such as a person receiving financial support for study at an institution or in a specific field.
-
D.
scholarshipType
Indicates the specific category or kind of scholarship associated with an entity.
-
E.
hasFacultyType
Indicates that a faculty member or academic unit is associated with a specific category or type of faculty (e.g., full-time, adjunct, visiting).
- 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_69f76e192a94819082db360cb91e6a8d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:06 p.m.