Triple
T13264412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Ann Catholic Church and National Shrine |
E315877
|
entity |
| Predicate | hasParishLife |
P109208
|
FINISHED |
| Object | active |
—
|
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: active | Statement: [St. Ann Catholic Church and National Shrine, hasParishLife, active]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParishLife Context triple: [St. Ann Catholic Church and National Shrine, hasParishLife, active]
-
A.
hasParishCommunity
Indicates that an entity is associated with, served by, or belongs to a specific parish community.
-
B.
hasLiturgicalLife
Indicates that an entity participates in or maintains practices, rituals, and rhythms associated with liturgical worship.
-
C.
parishIncludes
Indicates that a parish geographically or administratively contains or encompasses another entity or area.
-
D.
hasChurch
Indicates that a place or entity possesses, contains, or is associated with a church.
-
E.
haveOwnParishes
Indicates that an entity possesses or is responsible for its own distinct parishes.
- 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_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. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:25 p.m.