Triple
T37992426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shouters Prohibition Ordinance |
E947850
|
entity |
| Predicate | languageUsedToDescribe |
P60517
|
FINISHED |
| Object | "Shouters" for Spiritual Baptists |
E280530
|
NE 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: "Shouters" for Spiritual Baptists | Statement: [Shouters Prohibition Ordinance, languageUsedToDescribe, "Shouters" for Spiritual Baptists]
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 (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_69f76efa37088190be5416b7ef1ca275 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a01cb89ff448190b60ee3d148ce76fc |
completed | May 11, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a412cbbe6cc81909701ceb1455ada03 |
completed | June 28, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_6a01ca7604b48190bb8643c17c3a8c85 |
completed | May 11, 2026, 12:24 p.m. |
Created at: May 3, 2026, 4:20 p.m.