Triple
T5674839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summer Lent |
E125059
|
entity |
| Predicate | fastingRuleType |
P36507
|
FINISHED |
| Object | strict fast |
—
|
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 fast | Statement: [Summer Lent, fastingRuleType, strict fast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fastingRuleType Context triple: [Summer Lent, fastingRuleType, strict fast]
-
A.
typeOfFasting
chosen
Indicates the specific kind or category of fasting practice associated with an entity.
-
B.
fastingRuleVariation
Indicates a modification or alternative form of a standard fasting rule or practice.
-
C.
fastingRuleInByzantineRite
Indicates that a specified fasting rule is observed or prescribed within the context of the Byzantine Rite.
-
D.
fastingDuration
Indicates the length of time that an entity abstains from eating (and possibly drinking), typically as part of a fasting practice.
-
E.
fastingEmphasizedBy
Indicates that the importance or practice of fasting is highlighted, promoted, or given special focus by a particular source or agent.
- 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_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. |
Created at: March 22, 2026, 3:43 p.m.