Triple
T33874125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jai Ho |
E868306
|
entity |
| Predicate | featuresLanguageElements |
—
|
GENERATED |
| Object | Sanskrit |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresLanguageElements Context triple: [Jai Ho, featuresLanguageElements, Sanskrit]
-
A.
introducedLanguageElements
Indicates that an entity (such as a person, organization, or document) brought certain language elements (e.g., words, constructs, or features) into use or made them known for the first time.
-
B.
languageFeature
chosen
Indicates that one entity is a characteristic, property, or capability of a language associated with the other entity.
-
C.
languageFeatureType
Indicates the type or category of a particular language feature (e.g., phonological, syntactic, lexical) associated with an entity.
-
D.
languageStructure
Indicates the way elements of a language are organized and related to each other to form meaningful expressions.
-
E.
featuresLanguagePeriod
Indicates that something (such as a work, document, or artifact) is characterized by or associated with a particular historical period of a language.
- F. None of above.
Provenance (1 batch)
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_69f34995029081909ede0f7df73d1a5e |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:47 a.m.