Triple
T7531662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | बरामती |
E178036
|
entity |
| Predicate | लिपी |
P454
|
FINISHED |
| Object | देवनागरी |
—
|
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: देवनागरी | Statement: [बरामती, लिपी, देवनागरी]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: लिपी Context triple: [बरामती, लिपी, देवनागरी]
-
A.
writingSystem
chosen
Indicates that one entity is the script or system of written symbols used to represent the language or content of another entity.
-
B.
writingSystemUsedIn
Indicates that a particular writing system is employed for written communication within a given language, region, or context.
-
C.
usesLogogramsFrom
Indicates that one writing system or notation incorporates or employs logographic characters originating from another system.
-
D.
hasHandwritingOf
Indicates that one entity’s handwriting style or written text is attributed to, or produced by, another entity.
-
E.
canBeWrittenIn
Indicates that something is capable of being expressed, encoded, or represented using a particular language, notation, or medium.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84753fc81908bee2013004ef5fb |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:47 p.m.