Triple
T701203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apostolic Vicariate |
E14001
|
entity |
| Predicate | hasPastoralMission |
P18415
|
FINISHED |
| Object | evangelization |
—
|
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: evangelization | Statement: [Apostolic Vicariate, hasPastoralMission, evangelization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPastoralMission Context triple: [Apostolic Vicariate, hasPastoralMission, evangelization]
-
A.
hasLayMinistry
Indicates that an entity participates in or is associated with a lay (non-ordained) ministry role or service within a religious context.
-
B.
hasClergy
Indicates that an organization or institution possesses or is served by members of the clergy.
-
C.
hasChurch
Indicates that a place or entity possesses, contains, or is associated with a church.
-
D.
hasEducationalMission
Indicates that an entity is responsible for or engaged in carrying out an educational purpose, goal, or function.
-
E.
isPrincipalPastorOf
Indicates that one entity serves or has served as the main or lead pastor of another entity, typically a church or religious organization.
- F. None of above. chosen
Provenance (4 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a544e3608190ac315c7aa9f88e7e |
completed | March 1, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69a4a4ec8c748190b198492a0eea4445 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a54235548190b46218ea18f77341 |
completed | March 1, 2026, 8:44 p.m. |
Created at: March 1, 2026, 7:36 p.m.