Triple
T10571999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grace Community Church |
E249503
|
entity |
| Predicate | hasOutreachPrograms |
P67233
|
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: [Grace Community Church, hasOutreachPrograms, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutreachPrograms Context triple: [Grace Community Church, hasOutreachPrograms, yes]
-
A.
hasOutreachComponent
chosen
Indicates that something includes or is associated with an outreach-related element, activity, or component.
-
B.
hasVolunteerProgram
Indicates that an organization or entity offers an organized program through which individuals can volunteer their time or services.
-
C.
hasExtracurricularProgram
Indicates that an institution or organization offers one or more organized extracurricular programs or activities beyond its primary curriculum or mission.
-
D.
hasImmersionPrograms
Indicates that an entity offers or is associated with specialized programs designed to immerse participants deeply in a particular language, culture, or field of study.
-
E.
hasOnlinePrograms
Indicates that an entity offers or provides programs, courses, or services that are available online.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52747a8d88190ab59333937180edc |
completed | April 7, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69d51901ff6c819095e7b528170a69dc |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:37 p.m.