Triple
T37992426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shouters Prohibition Ordinance |
E947850
|
entity |
| Predicate | languageUsedToDescribe |
—
|
GENERATED |
| Object | "Shouters" for Spiritual Baptists |
—
|
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: languageUsedToDescribe Context triple: [Shouters Prohibition Ordinance, languageUsedToDescribe, "Shouters" for Spiritual Baptists]
-
A.
languageUsedInDepiction
Indicates that a particular language is used within a depiction, such as in its text, dialogue, or other linguistic content.
-
B.
languageUsedAs
chosen
Indicates that one language is employed in a specific role, function, or context relative to another entity or situation.
-
C.
languageDesigned
Indicates that one entity created or developed the language used or associated with another entity.
-
D.
languageCategory
Indicates the classification relationship where a language is assigned to a particular linguistic or functional category.
-
E.
languageOfSelfDescription
Indicates the language in which an entity describes itself (e.g., in its self-presentation, profile, or official self-authored text).
- F. None of above.
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_69f76efa37088190be5416b7ef1ca275 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.