Triple
T21939605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashadhi Ekadashi |
E541782
|
entity |
| Predicate | lunarDay |
P134384
|
FINISHED |
| Object | 11th day of the bright 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: 11th day of the bright fortnight | Statement: [Ashadhi Ekadashi, lunarDay, 11th day of the bright fortnight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lunarDay Context triple: [Ashadhi Ekadashi, lunarDay, 11th day of the bright fortnight]
-
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.
hasNumberOfTithis
Indicates the relationship that specifies how many tithis (lunar days) are associated with a given entity or period.
-
D.
bornOnLunarTithi
chosen
Indicates that one entity was born on the specific lunar tithi (lunar day) represented by the other entity.
-
E.
hasLunarFortnight
Indicates that an entity experiences or is associated with a recurring time period corresponding to a lunar fortnight (approximately half a lunar month).
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1241f582c81909a244419cec38b19 |
completed | April 28, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:55 p.m.