Triple
T17562776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Week in Eastern tradition |
E427732
|
entity |
| Predicate | includesFasting |
P74374
|
FINISHED |
| Object | strict fasting practices |
—
|
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: strict fasting practices | Statement: [Great Week in Eastern tradition, includesFasting, strict fasting practices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesFasting Context triple: [Great Week in Eastern tradition, includesFasting, strict fasting practices]
-
A.
includeFastingDays
Indicates whether a given schedule, plan, or regimen incorporates designated days of fasting as part of its structure or rules.
-
B.
fastingIncludes
Indicates that a period of fasting encompasses or contains a specified component, practice, or time interval as part of that fast.
-
C.
hasFastingRule
chosen
Indicates that there is a prescribed rule or requirement regarding fasting that applies to the subject.
-
D.
fastingIncludesAbstinenceFrom
Indicates that a period of fasting involves refraining from the specified item, activity, or practice.
-
E.
fastingExemptions
Indicates that certain individuals or situations are recognized as exceptions to a general requirement or rule to fast.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e456285c808190953a49e77366d8bd |
completed | April 19, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fd7d048190b54ee4c6155612a5 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.