Triple
T34407509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Princeton |
E883155
|
entity |
| Predicate | associatedWithConfession |
—
|
GENERATED |
| Object | Westminster Standards |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithConfession Context triple: [Old Princeton, associatedWithConfession, Westminster Standards]
-
A.
associatedConfession
Indicates a relationship where one entity is linked to a specific confession, admission, or statement acknowledging guilt or responsibility.
-
B.
containsConfession
Indicates that one entity includes or expresses an admission of guilt, wrongdoing, or previously concealed truth regarding another entity or situation.
-
C.
usesConfession
Indicates that one entity employs or relies on a confession (typically an admission of guilt or wrongdoing) as part of its actions or reasoning toward another entity or outcome.
-
D.
confessionObtainedBy
Indicates that a confession was acquired through a particular method, action, or process.
-
E.
usesConfessions
Indicates that one entity employs or relies on another entity’s confessions as a basis for some action, decision, or outcome.
- F. None of above. chosen
Provenance (1 batch)
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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:59 a.m.