Triple
T26725557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dravyasamgraha |
E673825
|
entity |
| Predicate | describesNumberOfDravyas |
P108228
|
FINISHED |
| Object | six |
—
|
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: six | Statement: [Dravyasamgraha, describesNumberOfDravyas, six]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesNumberOfDravyas Context triple: [Dravyasamgraha, describesNumberOfDravyas, six]
-
A.
numberOfPadarthas
Indicates the relationship that specifies how many distinct padarthas (categories or entities) are associated with or contained in a given subject.
-
B.
numberOfDescribedDrugs
chosen
Indicates the quantity of drugs that are being described or specified in a given context.
-
C.
definesNumberOfTattvas
Indicates that an entity specifies or establishes the total count of tattvas (fundamental principles or elements) in a given system.
-
D.
numberDescribedAs
Indicates that a number is characterized, labeled, or referred to using a particular description or phrase.
-
E.
hasNumberOfPrakaras
Indicates the relationship specifying how many prakaras (enclosure layers or surrounding structures) are associated with a given entity.
- F. None of above.
Provenance (3 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_69eecda481d08190aea69f2f7c745f56 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 27, 2026, 3:42 a.m.