Triple
T62692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grace (Christian theology) |
E1244
|
entity |
| Predicate | notBasedOn |
P2558
|
FINISHED |
| Object | human merit |
—
|
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: human merit | Statement: [Grace (Christian theology), notBasedOn, human merit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notBasedOn Context triple: [Grace (Christian theology), notBasedOn, human merit]
-
A.
doesNotUse
chosen
Indicates that one entity intentionally refrains from employing, utilizing, or relying on another entity, method, or resource.
-
B.
usedOn
Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
-
C.
doesNotHave
Indicates that one entity lacks, is missing, or is not in possession of another entity or attribute.
-
D.
opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
E.
basedOnEvent
Indicates that something is derived from, influenced by, or determined in reference to a specific event.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a251f74b0881909ad89127b8171277 |
completed | Feb. 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69a24ea242c8819086fe00bf01e6523e |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.