Triple
T18476770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kali Yuga |
E451453
|
entity |
| Predicate | fractionOfMahayuga |
P131793
|
FINISHED |
| Object | 0.1 |
—
|
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: 0.1 | Statement: [Kali Yuga, fractionOfMahayuga, 0.1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fractionOfMahayuga Context triple: [Kali Yuga, fractionOfMahayuga, 0.1]
-
A.
comprisesNumberOfYugas
Indicates that one entity consists of, or is made up of, a specified number of yugas.
-
B.
numberOfMahayugasInKalpa
Indicates the quantitative relationship specifying how many Mahayugas are contained within a single Kalpa.
-
C.
fractionOfDharmaRemaining
Indicates the proportion of the total dharma that still remains or is left unfulfilled.
-
D.
MahaKumbhFrequency
Indicates how often the Maha Kumbh event occurs in time (i.e., the temporal frequency with which it is held).
-
E.
age_billionYears
Indicates the number of billions of years that have elapsed since the referenced entity originated or came into existence.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53063c0108190be71247567b5241b |
completed | April 19, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69e469d671088190b619de96ea6f92ab |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:35 a.m.