Triple
T30624863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaivasvata Manu |
E779544
|
entity |
| Predicate | manvantaraNumber |
P169633
|
FINISHED |
| Object | seventh Manu |
—
|
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: seventh Manu | Statement: [Vaivasvata Manu, manvantaraNumber, seventh Manu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manvantaraNumber Context triple: [Vaivasvata Manu, manvantaraNumber, seventh Manu]
-
A.
numberOfMahayugasInKalpa
Indicates the quantitative relationship specifying how many Mahayugas are contained within a single Kalpa.
-
B.
comprisesNumberOfYugas
Indicates that one entity consists of, or is made up of, a specified number of yugas.
-
C.
numberOfTirthankaras
Indicates the specific count of Tirthankaras associated with or attributed to an entity.
-
D.
numberInMahavidyas
Indicates the specific ordinal position or count assigned to an entity within the set of Mahavidyas.
-
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_69f68a18eee08190b6d3d752e1685177 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f0353c88190a05b2db449abe0f4 |
completed | May 2, 2026, 10:47 p.m. |
Created at: April 29, 2026, 8:27 p.m.