Triple
T9183890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Bonaventure University |
E220403
|
entity |
| Predicate | hasCampusMinistry |
P80198
|
FINISHED |
| Object | Franciscan friars |
—
|
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: Franciscan friars | Statement: [St. Bonaventure University, hasCampusMinistry, Franciscan friars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCampusMinistry Context triple: [St. Bonaventure University, hasCampusMinistry, Franciscan friars]
-
A.
hasStudentOrganization
Indicates that an entity (such as an institution or department) is associated with or hosts a particular student organization.
-
B.
hasCampusCommunity
chosen
Indicates that an institution or location possesses an associated campus-based community or group of people connected to it.
-
C.
hasStudentUnionStatus
Indicates that an entity holds a recognized status or designation related to a student union.
-
D.
campusOrganization
Indicates that one entity is an organization that operates within, is based at, or is formally affiliated with a particular campus.
-
E.
governsCampus
Indicates that one entity has administrative or authoritative control over the operations and policies of a campus.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc31734908190b8ebe3b57849ca5f |
completed | April 1, 2026, 7:02 a.m. |
| PD | Predicate disambiguation | batch_69cc66090e5881908889dc1213815626 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:24 p.m.