Triple
T18119899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Fast in Eastern Christianity |
E433703
|
entity |
| Predicate | preparatoryPeriod |
P24075
|
FINISHED |
| Object | Sundays before 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: Sundays before Lent | Statement: [Great Fast in Eastern Christianity, preparatoryPeriod, Sundays before Lent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preparatoryPeriod Context triple: [Great Fast in Eastern Christianity, preparatoryPeriod, Sundays before Lent]
-
A.
preparationPeriod
chosen
Indicates the time span allocated before an event or action during which necessary preparations are made.
-
B.
preparatoryRole
Indicates that one entity performs a function or activity that serves as preparation or groundwork for another entity, event, or process.
-
C.
preparedFor
Indicates that one entity has been made ready, equipped, or arranged in anticipation of use by or in connection with another entity.
-
D.
preparesFor
Indicates that one entity is used, designed, or undertaken in order to get another entity ready for a future event, state, or activity.
-
E.
trainingPeriod
Indicates the duration or phase during which training or instruction is formally conducted.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd9b21c81908d23b8d9840410df |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:28 a.m.