Triple
T30625141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manvantara |
E779554
|
entity |
| Predicate | hasNumberOfManusPerKalpa |
P194133
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [Manvantara, hasNumberOfManusPerKalpa, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfManusPerKalpa Context triple: [Manvantara, hasNumberOfManusPerKalpa, 14]
-
A.
numberOfMahayugasInKalpa
Indicates the quantitative relationship specifying how many Mahayugas are contained within a single Kalpa.
-
B.
manvantaraNumber
Indicates the specific sequential number assigned to a given manvantara within a cyclical cosmological time framework.
-
C.
comprisesNumberOfYugas
Indicates that one entity consists of, or is made up of, a specified number of yugas.
-
D.
numberOfSkandhas
Indicates the relationship that specifies how many skandhas (aggregates) are associated with a given entity or concept.
-
E.
numberInMahapuranas
Indicates that a specified number is the count or quantity associated with something as stated in the Mahapuranas.
- 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_69f224a431548190a44ad9d088dbf91f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69fd64bb345c819096a35c72784a8ce3 |
completed | May 8, 2026, 4:21 a.m. |
Created at: April 29, 2026, 8:27 p.m.