Triple
T6388161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novus Ordo |
E143751
|
entity |
| Predicate | hasLectionaryCycle |
P7825
|
FINISHED |
| Object | three-year Sunday cycle |
—
|
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: three-year Sunday cycle | Statement: [Novus Ordo, hasLectionaryCycle, three-year Sunday cycle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLectionaryCycle Context triple: [Novus Ordo, hasLectionaryCycle, three-year Sunday cycle]
-
A.
hasLiturgicalCycle
Indicates that one entity follows, observes, or is structured according to a particular liturgical cycle associated with another entity.
-
B.
hasLiturgicalPeriod
Indicates that something is associated with, occurs during, or is assigned to a specific liturgical period within a religious calendar.
-
C.
hasLiturgicalReading
Indicates that a religious service, observance, or liturgical event includes or is associated with a specific prescribed reading from scripture or other sacred text.
-
D.
usesLiturgicalCalendar
Indicates that an entity follows or organizes its religious observances according to a formal liturgical calendar.
-
E.
readingsCycle
chosen
Indicates that there is a recurring or cyclical pattern in the readings associated with an entity or process.
- 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0686b4f34819088ff07185b34e536 |
completed | March 22, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69c060eff524819094cee1c70a0c1ff4 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:34 p.m.