Triple
T4515595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dvapara Yuga |
E102145
|
entity |
| Predicate | fractionOfDharmaRemaining |
P57131
|
FINISHED |
| Object | one-half |
—
|
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: one-half | Statement: [Dvapara Yuga, fractionOfDharmaRemaining, one-half]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fractionOfDharmaRemaining Context triple: [Dvapara Yuga, fractionOfDharmaRemaining, one-half]
-
A.
hasApproximateAdherents
Indicates that an entity is associated with a non-exact, estimated number of adherents or followers.
-
B.
numberOfTirthankaras
Indicates the specific count of Tirthankaras associated with or attributed to an entity.
-
C.
divineStatus
Indicates that an entity possesses a sacred, godlike, or religiously exalted status in relation to another entity or within a given belief system.
-
D.
numberOfPadarthas
Indicates the relationship that specifies how many distinct padarthas (categories or entities) are associated with or contained in a given subject.
-
E.
hasNumberOfDeities
Indicates the specific count of deities associated with an entity, such as a religion, mythology, or belief 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5725745c81908bb462ba9537ae14 |
completed | March 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69bd521abea48190b3e758a1f98dd55e |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b3e4c88190a7ade3d0ed0ab606 |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:02 p.m.