Triple
T2689577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Church |
E57566
|
entity |
| Predicate | baptismView |
P12228
|
FINISHED |
| Object | baptism by immersion for believers |
—
|
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 for believers | Statement: [Christian Church, baptismView, baptism by immersion for believers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baptismView Context triple: [Christian Church, baptismView, baptism by immersion for believers]
-
A.
viewOnBaptism
chosen
Indicates a stance, belief, or doctrinal position that an entity holds regarding the practice or theology of baptism.
-
B.
baptismReligion
Indicates the religion or denomination into which an entity was baptized.
-
C.
baptized
Indicates that one entity performed or underwent the religious rite of baptism in relation to another entity or context.
-
D.
baptismName
Indicates the name an individual receives or uses specifically in the context of a baptism ceremony.
-
E.
baptismPlace
Indicates the place where an individual was baptized.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9f380d48190953529d23688a328 |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81c9b4c81908e5e0da6ac5f828b |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.