Triple
T10606247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shravan month |
E275882
|
entity |
| Predicate | fastingPattern |
P24078
|
FINISHED |
| Object | women often fast for family well-being |
—
|
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: women often fast for family well-being | Statement: [Shravan month, fastingPattern, women often fast for family well-being]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fastingPattern Context triple: [Shravan month, fastingPattern, women often fast for family well-being]
-
A.
typeOfFasting
Indicates the specific kind or category of fasting practice associated with an entity.
-
B.
fastingDuration
Indicates the length of time that an entity abstains from eating (and possibly drinking), typically as part of a fasting practice.
-
C.
fastingRuleVariation
chosen
Indicates a modification or alternative form of a standard fasting rule 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.
fastingRuleEffect
Indicates the effect or consequence that a fasting rule has on the entities or situation it governs.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4b7aa48190bf7873b293571030 |
completed | April 8, 2026, 11:05 p.m. |
| PD | Predicate disambiguation | batch_69d6dd72c1288190adbb5e79e94c044a |
completed | April 8, 2026, 10:57 p.m. |
Created at: April 8, 2026, 7:32 p.m.