Triple
T13750722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Catholic parishes |
E330341
|
entity |
| Predicate | oftenServe |
P17274
|
FINISHED |
| Object | predominantly African-American congregations |
—
|
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: predominantly African-American congregations | Statement: [Black Catholic parishes, oftenServe, predominantly African-American congregations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenServe Context triple: [Black Catholic parishes, oftenServe, predominantly African-American congregations]
-
A.
servesUse
Indicates that one entity is used by or functions to serve the purpose or needs of another entity.
-
B.
intendedToServe
Indicates that one entity was designed, planned, or purposed specifically to benefit, assist, or fulfill the needs of another entity.
-
C.
servesMostly
chosen
Indicates that one entity primarily functions to serve, support, or cater to another entity, more than to any other.
-
D.
alsoServes
Indicates that an entity, in addition to its primary role or function, provides service or support to another specified entity or group.
-
E.
mayServe
Indicates that one entity is permitted or authorized to provide a service or function to another entity.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02148c208190a882927905a861a6 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:08 p.m.