Triple
T7199944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penitential Act |
E168713
|
entity |
| Predicate | mayBeOmittedWhen |
P75771
|
FINISHED |
| Object | Rite of Blessing and Sprinkling of Water is used |
—
|
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: Rite of Blessing and Sprinkling of Water is used | Statement: [Penitential Act, mayBeOmittedWhen, Rite of Blessing and Sprinkling of Water is used]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeOmittedWhen Context triple: [Penitential Act, mayBeOmittedWhen, Rite of Blessing and Sprinkling of Water is used]
-
A.
mayPresent
Indicates that one entity is permitted or authorized to present, display, or introduce another entity or item.
-
B.
mayIncludeFeature
Indicates that one entity is allowed or able to contain, incorporate, or be associated with a particular feature.
-
C.
mayBeFollowedBy
Indicates that one event, state, or item is allowed or able to occur immediately after another in a sequence.
-
D.
mayDifferFrom
Indicates that one entity is allowed or expected to be different from another entity, without requiring them to be identical.
-
E.
mayRemove
Indicates that one entity is permitted or authorized to remove another entity or its association.
- 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e92cc8ac8190a6448b79496a8249 |
completed | March 27, 2026, 8:31 p.m. |
| PD | Predicate disambiguation | batch_69c6e757fed4819091b0a096e3befc3a |
completed | March 27, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69c6e8fd9b848190b2b1beea5698422b |
completed | March 27, 2026, 8:30 p.m. |
Created at: March 27, 2026, 2:52 p.m.