Triple
T17939323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kartik Krishna Paksha |
E448546
|
entity |
| Predicate | hasNumberOfTithis |
P129798
|
FINISHED |
| Object | 15 |
—
|
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: 15 | Statement: [Kartik Krishna Paksha, hasNumberOfTithis, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfTithis Context triple: [Kartik Krishna Paksha, hasNumberOfTithis, 15]
-
A.
lunarCalendar
Indicates that the referenced system, event, or date is defined, measured, or scheduled according to a calendar based on the phases or cycles of the Moon.
-
B.
isLunisolar
Indicates that something is based on or determined by both the cycles of the moon and the sun.
-
C.
monthInHinduCalendar
Indicates that a specified time or event falls within a particular month as defined by the Hindu calendar system.
-
D.
hasNumberOfDaysIn13thMonth
Indicates the specific count of days that occur in the thirteenth month of a given calendar or time system.
-
E.
occursOnNakshatra
Indicates that an event or phenomenon takes place during, or is associated with, a specific nakshatra (lunar mansion) in the traditional Indian astronomical/astrological 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad9533688190bff773c183ed8505 |
completed | April 19, 2026, 10:25 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:21 a.m.