Triple
T19281616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panchami |
E482200
|
entity |
| Predicate | isOrdinalDay |
P135435
|
FINISHED |
| Object | fifth day in each lunar fortnight |
—
|
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: fifth day in each lunar fortnight | Statement: [Panchami, isOrdinalDay, fifth day in each lunar fortnight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOrdinalDay Context triple: [Panchami, isOrdinalDay, fifth day in each lunar fortnight]
-
A.
dayInYear
Indicates that a specific day occurs within a particular year.
-
B.
dayOfMonth
Indicates the specific calendar day number within a given month on which something occurs or is associated.
-
C.
isOctaveDayOf
Indicates that one day is the octave (eighth day or a day within the eight-day extension) of a specified feast or celebration in a liturgical or calendrical context.
-
D.
dayRelativeToEaster
Indicates the temporal offset of a given day relative to the date of Easter in a specific year (e.g., days before or after Easter Sunday).
-
E.
hasNumberOfDaysIn13thMonth
Indicates the specific count of days that occur in the thirteenth month of a given calendar or time system.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbff1e6c819094ae6a5ad40adb65 |
completed | April 20, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69e4dd07a7208190afcd51ba1dc87c33 |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4df51ac6c819091ce72b07790ffa6 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:30 p.m.