Triple
T12068635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Full Gospel |
E287363
|
entity |
| Predicate | understands |
P103026
|
FINISHED |
| Object | New Testament miracle accounts as normative |
—
|
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: New Testament miracle accounts as normative | Statement: [Full Gospel, understands, New Testament miracle accounts as normative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: understands Context triple: [Full Gospel, understands, New Testament miracle accounts as normative]
-
A.
betterUnderstoodAs
Indicates that one concept, term, or representation is more accurately or clearly interpreted when viewed as another specified concept, term, or representation.
-
B.
canBeUnderstoodBy
Indicates that something is comprehensible or interpretable to a particular entity or group.
-
C.
underlies
Indicates that one entity serves as a fundamental basis, support, or underlying cause for another entity, condition, or phenomenon.
-
D.
aimsToUnderstand
Indicates an intention or effort by one entity to gain knowledge, insight, or comprehension about another entity or subject.
-
E.
underpins
Indicates that one entity serves as the fundamental basis, support, or justification for another.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:48 p.m.