Triple
T21561829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Year of the Trees |
E532054
|
entity |
| Predicate | fastingRestrictions |
P74374
|
FINISHED |
| Object | fasting is generally avoided |
—
|
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: fasting is generally avoided | Statement: [New Year of the Trees, fastingRestrictions, fasting is generally avoided]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fastingRestrictions Context triple: [New Year of the Trees, fastingRestrictions, fasting is generally avoided]
-
A.
fastingAndPrecepts
Indicates that an entity observes both fasting and prescribed moral or religious precepts as part of a combined practice or obligation.
-
B.
fastingIncludesAbstinenceFrom
Indicates that a period of fasting involves refraining from the specified item, activity, or practice.
-
C.
fastingExemptions
Indicates that certain individuals or situations are recognized as exceptions to a general requirement or rule to fast.
-
D.
fastingIncludes
Indicates that a period of fasting encompasses or contains a specified component, practice, or time interval as part of that fast.
-
E.
hasFastingRule
chosen
Indicates that there is a prescribed rule or requirement regarding fasting that applies to the subject.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e3e2348190b5c3b66cdc871e6e |
completed | April 27, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:29 p.m.