Triple
T6347834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Oakland |
E142788
|
entity |
| Predicate | hasPastoralMinistry |
P18415
|
FINISHED |
| Object | campus ministry |
—
|
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: campus ministry | Statement: [Roman Catholic Diocese of Oakland, hasPastoralMinistry, campus ministry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPastoralMinistry Context triple: [Roman Catholic Diocese of Oakland, hasPastoralMinistry, campus ministry]
-
A.
hasPastoralMission
chosen
Indicates that an entity is responsible for providing spiritual care, guidance, or religious leadership to a community or group.
-
B.
hasLayMinistry
Indicates that an entity participates in or is associated with a lay (non-ordained) ministry role or service within a religious context.
-
C.
isPrincipalPastorOf
Indicates that one entity serves or has served as the main or lead pastor of another entity, typically a church or religious organization.
-
D.
workedAsClergymanIn
Indicates that a person served in a religious or clerical role within a specified place or institution.
-
E.
hasPastoralCenter
Indicates that an entity possesses or is associated with a pastoral center as one of its facilities or organizational components.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067ba2c64819094fa38bb2aeffa6c |
completed | March 22, 2026, 10:05 p.m. |
| PD | Predicate disambiguation | batch_69c060ea1a988190889e47b7e0c819b8 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:31 p.m.