Triple
T34571762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ambrosian calendar |
E887643
|
entity |
| Predicate | hasPreLentenPeriod |
P27466
|
FINISHED |
| Object | Carnival until first Sunday of Lent |
—
|
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: Carnival until first Sunday of Lent | Statement: [Ambrosian calendar, hasPreLentenPeriod, Carnival until first Sunday of Lent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPreLentenPeriod Context triple: [Ambrosian calendar, hasPreLentenPeriod, Carnival until first Sunday of Lent]
-
A.
hasPreFestivePeriod
Indicates that an entity is associated with or occurs during a time period leading up to a specific festival or celebration.
-
B.
hasLiturgicalPeriod
chosen
Indicates that something is associated with, occurs during, or is assigned to a specific liturgical period within a religious calendar.
-
C.
hasPostFestivePeriod
Indicates that an entity experiences or is associated with a specific period of time following a festive or holiday event.
-
D.
allowsLentenDispensation
Indicates that an authority grants an exemption from standard Lenten obligations or restrictions.
-
E.
LentDoesNotInclude
Indicates that a specified item, event, or element is explicitly excluded from what is considered part of Lent.
- F. None of above.
Provenance (3 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_69f349d1a5fc81908557a46875b2f157 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0316136a14819085bb88563d5abc42 |
completed | May 12, 2026, 11:59 a.m. |
| PD | Predicate disambiguation | batch_6a03158a962c81909f17d58197f6ba00 |
completed | May 12, 2026, 11:56 a.m. |
Created at: May 1, 2026, 2:03 a.m.