Triple
T28679869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Doctrine of Justification |
E725978
|
entity |
| Predicate | dealsWithConcept |
P531
|
FINISHED |
| Object | righteousness before God |
—
|
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: righteousness before God | Statement: [The Doctrine of Justification, dealsWithConcept, righteousness before God]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dealsWithConcept Context triple: [The Doctrine of Justification, dealsWithConcept, righteousness before God]
-
A.
hasConcept
chosen
Indicates that an entity includes, embodies, or is associated with a particular concept.
-
B.
usesConceptIdentifier
Indicates that one entity refers to or operates with a specific concept by means of its unique identifier.
-
C.
hasConceptualInvolvementBy
Indicates that something is conceptually influenced, shaped, or defined by the ideas, theories, or mental contributions of a particular agent or source.
-
D.
hasImplementedConcept
Indicates that an entity has put a particular concept into practice or realized it in an implemented form.
-
E.
dedicatedToConcept
Indicates that something is specifically devoted, committed, or purposefully directed toward a particular concept or abstract idea.
- 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_69f01d867608819086bc3e6b4f9de866 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f656383bb48190bf4218486f32aa42 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 5:08 a.m.