Triple
T5674834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summer Lent |
E125059
|
entity |
| Predicate | fastingIncludesAbstinenceFrom |
P65913
|
FINISHED |
| Object | meat |
—
|
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: meat | Statement: [Summer Lent, fastingIncludesAbstinenceFrom, meat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fastingIncludesAbstinenceFrom Context triple: [Summer Lent, fastingIncludesAbstinenceFrom, meat]
-
A.
fastingIncludes
Indicates that a period of fasting encompasses or contains a specified component, practice, or time interval as part of that fast.
-
B.
fastingExemptions
Indicates that certain individuals or situations are recognized as exceptions to a general requirement or rule to fast.
-
C.
typeOfFasting
Indicates the specific kind or category of fasting practice associated with an entity.
-
D.
fastingEmphasizedBy
Indicates that the importance or practice of fasting is highlighted, promoted, or given special focus by a particular source or agent.
-
E.
fastingRuleVariation
Indicates a modification or alternative form of a standard fasting rule or practice.
- 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025303860819093e51f176babed71 |
completed | March 22, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69c021bc3894819084f37d14ba4b2644 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c0252e18988190a8f3aa0684c12fb8 |
completed | March 22, 2026, 5:21 p.m. |
Created at: March 22, 2026, 3:43 p.m.