Triple
T10993180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sacrament of Conversion |
E259797
|
entity |
| Predicate | pastoralPurpose |
P96532
|
FINISHED |
| Object | healing of the sinner |
—
|
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: healing of the sinner | Statement: [Sacrament of Conversion, pastoralPurpose, healing of the sinner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pastoralPurpose Context triple: [Sacrament of Conversion, pastoralPurpose, healing of the sinner]
-
A.
pastoralActivities
Indicates activities related to providing spiritual care, guidance, or religious leadership within a community.
-
B.
usesPastoralSetting
Indicates that the action or work is set in an idealized rural or countryside environment characteristic of pastoral themes.
-
C.
pastoralWorkLocation
Indicates the place where a person carries out their pastoral or ministerial duties.
-
D.
livestockUse
Indicates how an entity is used or managed in relation to livestock, such as for raising, feeding, housing, or supporting livestock activities.
-
E.
primaryLivestock
Indicates that the specified livestock type is the main or most important kind of animal raised or kept by an entity.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d795d32f9081909def643571499521 |
completed | April 9, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69d72e93ac648190b46c5d12bf3eb1e9 |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d732242fdc8190be77d1f730a42935 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.