Triple
T34150679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamika Ekadashi |
E875984
|
entity |
| Predicate | fastingFrom |
P65913
|
FINISHED |
| Object | grains |
—
|
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: grains | Statement: [Kamika Ekadashi, fastingFrom, grains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fastingFrom Context triple: [Kamika Ekadashi, fastingFrom, grains]
-
A.
fastingDuration
Indicates the length of time that an entity abstains from eating (and possibly drinking), typically as part of a fasting practice.
-
B.
typeOfFasting
Indicates the specific kind or category of fasting practice associated with an entity.
-
C.
fastingIncludesAbstinenceFrom
chosen
Indicates that a period of fasting involves refraining from the specified item, activity, or practice.
-
D.
fastingEmphasizedBy
Indicates that the importance or practice of fasting is highlighted, promoted, or given special focus by a particular source or agent.
-
E.
fastingAndPrecepts
Indicates that an entity observes both fasting and prescribed moral or religious precepts as part of a combined practice or obligation.
- 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_69f349abaa508190a820f206620efddc |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:54 a.m.