Triple
T20802947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian soteriology |
E512084
|
entity |
| Predicate | includesView |
P141869
|
FINISHED |
| Object | penal substitutionary atonement |
—
|
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: penal substitutionary atonement | Statement: [Christian soteriology, includesView, penal substitutionary atonement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesView Context triple: [Christian soteriology, includesView, penal substitutionary atonement]
-
A.
includesSee
Indicates that one entity’s scope, content, or experience contains or encompasses the act of seeing or visual perception involving another entity.
-
B.
isPartOfView
Indicates that one entity represents a view or perspective that is contained within, derived from, or included as a component of another view or larger visual/contextual structure.
-
C.
includesShow
Indicates that one entity contains or features a particular show as part of its content or offerings.
-
D.
isViewableIn
Indicates that one entity can be visually accessed, observed, or displayed within the context, medium, or viewpoint defined by another entity.
-
E.
hasView
Indicates that one entity provides a visual perspective or outlook onto another entity or scene.
- F. None of above. chosen
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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2b207c48190a9ca5895bdf85245 |
completed | April 21, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69e5c99ca55481908e8d434fa901cfd6 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:39 p.m.