Triple
T337753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christus Victor theory of atonement |
E6764
|
entity |
| Predicate | understandsCrossAs |
P12225
|
FINISHED |
| Object | triumph rather than primarily legal transaction |
—
|
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: triumph rather than primarily legal transaction | Statement: [Christus Victor theory of atonement, understandsCrossAs, triumph rather than primarily legal transaction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: understandsCrossAs Context triple: [Christus Victor theory of atonement, understandsCrossAs, triumph rather than primarily legal transaction]
-
A.
crossType
Indicates a relationship where one entity intersects, passes over, or traverses another, typically implying movement or extension across a boundary, area, or medium.
-
B.
crossedBy
Indicates that one entity (typically a path, line, or boundary) is intersected or traversed by another entity.
-
C.
crossesBetween
Indicates that one entity passes from one side of a second entity to the other, traversing the space between two reference points or boundaries associated with that second entity.
-
D.
crossesSectionOf
Indicates that one entity passes through or over a specific segment or portion of another entity.
-
E.
areMutuallyIntelligibleToSomeDegree
Indicates that two or more languages or communication systems can be at least partially understood by each other’s users without prior learning or translation.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eae23b0c819081f8bf9ac26685ab |
completed | Feb. 28, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69a2e94f049881908f10bb6548a8bb2e |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea2c44408190946267525c88e811 |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.