Triple
T35332440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rama Ekadashi |
E1020357
|
entity |
| Predicate | timingRelativeToFestival |
P74943
|
FINISHED |
| Object | occurs before Diwali in many years |
—
|
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: occurs before Diwali in many years | Statement: [Rama Ekadashi, timingRelativeToFestival, occurs before Diwali in many years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timingRelativeToFestival Context triple: [Rama Ekadashi, timingRelativeToFestival, occurs before Diwali in many years]
-
A.
timeRelativeToFeast
chosen
Indicates the temporal relationship of an event or state with respect to a specific feast, such as occurring before, during, or after that feast.
-
B.
timeOfCelebration
Indicates the specific time or period during which a celebration takes place.
-
C.
dayOfFestival
Indicates the specific calendar day on which a festival takes place or is celebrated.
-
D.
durationOfFestivalContext
Indicates the length of time for which a festival takes place within a given contextual setting or event instance.
-
E.
festivalDay
Indicates that a given day is designated as a festival or celebration day within a particular context or calendar.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.