Triple
T4512846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achintya Bheda Abheda |
E102089
|
entity |
| Predicate | coreTerm |
P2309
|
FINISHED |
| Object | achintya |
—
|
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: achintya | Statement: [Achintya Bheda Abheda, coreTerm, achintya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreTerm Context triple: [Achintya Bheda Abheda, coreTerm, achintya]
-
A.
keyTerm
chosen
Indicates that a term functions as a primary or central concept within a given context or information structure.
-
B.
typicalTerm
Indicates that something is a standard, representative, or characteristic term typically associated with a given concept or context.
-
C.
usedTerm
Indicates that one entity employed, referenced, or applied a particular term in some context.
-
D.
languageTerm
Indicates that one entity is a linguistic expression (word, phrase, or term) used to denote or label the other entity.
-
E.
classificationTerm
Indicates that one entity serves as a categorical label or type used to classify or group another 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5722d8fc81909c5f2d9a38d17a6b |
completed | March 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69bd5218afb4819087c99e0a1f22e137 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:02 p.m.