Triple
T6935716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meatfare Sunday |
E160547
|
entity |
| Predicate | preparatoryRole |
P74372
|
FINISHED |
| Object | moral preparation for Lenten asceticism |
—
|
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: moral preparation for Lenten asceticism | Statement: [Meatfare Sunday, preparatoryRole, moral preparation for Lenten asceticism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preparatoryRole Context triple: [Meatfare Sunday, preparatoryRole, moral preparation for Lenten asceticism]
-
A.
pretrainingRole
Indicates the role or function an entity serves specifically during a pretraining phase or process.
-
B.
preparationBy
Indicates that one entity is created, assembled, or made ready through the actions or processes performed by another entity.
-
C.
plannedRole
Indicates that an entity is expected or intended to assume a particular role or function in a planned or future context.
-
D.
preparationSupervisedBy
Indicates that the preparation of something is carried out under the oversight or direction of a supervising entity.
-
E.
preparedFor
Indicates that one entity has been made ready, equipped, or arranged in anticipation of use by or in connection with another 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_69c6884e15208190b9e91487eaafcf85 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e0c74fe48190aeaa018631e52ef6 |
completed | March 27, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bd5a388190a57a96d925696ff6 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6e0c620f0819080e0ec49b36d4c30 |
completed | March 27, 2026, 7:55 p.m. |
Created at: March 27, 2026, 2:27 p.m.