Triple
T33874125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jai Ho |
E868306
|
entity |
| Predicate | featuresLanguageElements |
P5192
|
FINISHED |
| Object | Sanskrit |
—
|
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: Sanskrit | Statement: [Jai Ho, featuresLanguageElements, Sanskrit]
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 (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_69f34995029081909ede0f7df73d1a5e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a022c5269888190944314074aedfe73 |
completed | May 11, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_6a02286020308190b238183f7ba2065f |
completed | May 11, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:47 a.m.