Triple
T23377362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Jubilees |
E593642
|
entity |
| Predicate | conditionForIndulgence |
P152497
|
FINISHED |
| Object | state of grace |
—
|
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: state of grace | Statement: [Roman Jubilees, conditionForIndulgence, state of grace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conditionForIndulgence Context triple: [Roman Jubilees, conditionForIndulgence, state of grace]
-
A.
hasSpecialIndulgence
Indicates that one entity grants or possesses a particular privilege, exemption, or favor specifically afforded to another entity.
-
B.
hasTypeOfIndulgence
Indicates that an entity is associated with a specific kind or category of indulgence it involves or permits.
-
C.
conditionForSparing
Indicates that one entity specifies the circumstances under which another entity is exempted from harm, penalty, or adverse action.
-
D.
conditionToServe
Indicates the specific requirement or state that must be satisfied for an entity to be eligible or allowed to serve in a given role or capacity.
-
E.
preferredConditions
Indicates the specific circumstances or environmental factors that an entity favors or finds most suitable compared to alternatives.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b526ec8190b0304c72a9010abb |
completed | April 29, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f0bd4a0e408190ad8916faf23562d9 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 17, 2026, 5:33 p.m.