Triple
T1324352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramadan |
E28290
|
entity |
| Predicate | fastingIncludes |
P26546
|
FINISHED |
| Object | abstaining from food |
—
|
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: abstaining from food | Statement: [Ramadan, fastingIncludes, abstaining from food]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fastingIncludes Context triple: [Ramadan, fastingIncludes, abstaining from food]
-
A.
fastingRuleVariation
Indicates a modification or alternative form of a standard fasting rule or practice.
-
B.
preparatoryFastBegins
Indicates that a required period of fasting starts in preparation for a subsequent event, action, or ritual.
-
C.
includesFeedingType
Indicates that one entity encompasses or specifies a particular type or category of feeding associated with another entity.
-
D.
containsFast
Indicates that one entity includes or holds another entity in a way that allows rapid or high-speed access, interaction, or processing.
-
E.
hasStapleFood
Indicates that an entity’s primary or regularly consumed basic food item is another specified entity.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19e81c0819092f85201ae34422a |
completed | March 1, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69a4beedb49c8190beb5b85cdda05013 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bf8158ac8190b8360ecccc2980bc |
completed | March 1, 2026, 10:36 p.m. |
Created at: March 1, 2026, 7:55 p.m.