Triple
T13264390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Ann Catholic Church and National Shrine |
E315877
|
entity |
| Predicate | hasCommunityMinistries |
P40297
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [St. Ann Catholic Church and National Shrine, hasCommunityMinistries, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommunityMinistries Context triple: [St. Ann Catholic Church and National Shrine, hasCommunityMinistries, yes]
-
A.
hasParishCommunity
Indicates that an entity is associated with, served by, or belongs to a specific parish community.
-
B.
hasChristianCommunity
Indicates that a place or entity possesses or hosts an established Christian community.
-
C.
hasMinistries
chosen
Indicates that an entity possesses, oversees, or is organized into one or more ministries as subordinate units or departments.
-
D.
hasCommunityService
Indicates that an entity is associated with, participates in, or is subject to community service activities or obligations.
-
E.
sharesMinistryAmong
Indicates that a ministry or ministerial responsibility is jointly held, distributed, or exercised among multiple entities.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f60911081909fa346a054f76c9f |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:25 p.m.