Triple
T5558335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fast of the Tenth of Tevet |
E145702
|
entity |
| Predicate | fastingExemptions |
P64469
|
FINISHED |
| Object | the ill |
—
|
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: the ill | Statement: [Fast of the Tenth of Tevet, fastingExemptions, the ill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fastingExemptions Context triple: [Fast of the Tenth of Tevet, fastingExemptions, the ill]
-
A.
fastingIncludes
Indicates that a period of fasting encompasses or contains a specified component, practice, or time interval as part of that fast.
-
B.
hasObligationOfFasting
Indicates that one entity is required or duty-bound to perform fasting.
-
C.
typeOfFasting
Indicates the specific kind or category of fasting practice associated with an entity.
-
D.
fastingRuleVariation
Indicates a modification or alternative form of a standard fasting rule or 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. 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0201529a88190bf0135e032b048ea |
completed | March 22, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69c01b10bbf8819098655839c03b7832 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0684908190ae2d14f0bd2ab892 |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:36 p.m.