Triple
T18450966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treta Yuga |
E450779
|
entity |
| Predicate | comparedToSatyaYuga |
P131680
|
FINISHED |
| Object | less truthfulness |
—
|
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: less truthfulness | Statement: [Treta Yuga, comparedToSatyaYuga, less truthfulness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparedToSatyaYuga Context triple: [Treta Yuga, comparedToSatyaYuga, less truthfulness]
-
A.
comprisesNumberOfYugas
Indicates that one entity consists of, or is made up of, a specified number of yugas.
-
B.
timeAfterEnlightenment
Indicates that one time point occurs after the moment of enlightenment in a given temporal or spiritual framework.
-
C.
fractionOfDharmaRemaining
Indicates the proportion of the total dharma that still remains or is left unfulfilled.
-
D.
inUniverseAge
Indicates the age of an entity as measured within the timeline or continuity of a specific fictional or defined universe.
-
E.
numberOfMahayugasInKalpa
Indicates the quantitative relationship specifying how many Mahayugas are contained within a single Kalpa.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52648476c8190a5d8c3297d836f62 |
completed | April 19, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
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, 11:31 a.m.