Triple
T904377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seventh-day Adventist Church |
E19513
|
entity |
| Predicate | hasOrdinance |
P3099
|
FINISHED |
| Object | Baptism by immersion |
—
|
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: Baptism by immersion | Statement: [Seventh-day Adventist Church, hasOrdinance, Baptism by immersion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrdinance Context triple: [Seventh-day Adventist Church, hasOrdinance, Baptism by immersion]
-
A.
recognizedAsOrdinanceBy
chosen
Indicates that something is formally acknowledged or accepted as an ordinance by a particular authority or governing body.
-
B.
hasLocalOrdinances
Indicates that a governing body or jurisdiction has established and enacted specific local ordinances or regulations.
-
C.
foundOrdinances
Indicates that one entity has discovered, identified, or come across specific ordinances (such as laws, regulations, or decrees) associated with another entity or context.
-
D.
legislatedUnder
Indicates that a law, regulation, or policy was created, enacted, or established according to the authority, framework, or provisions of a specific higher-level law or legal regime.
-
E.
enforcedLaw
Indicates that an authority actively applies or upholds a specific law to regulate behavior or resolve situations.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad58334881908df191140b786780 |
completed | March 1, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69a4aa98caec8190bbcc38320090f058 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.