Triple

T101448
Position Surface form Disambiguated ID Type / Status
Subject Indian English E2047 entity
Predicate isLinguaFrancaFor P237 FINISHED
Object interstate communication in India 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: interstate communication in India | Statement: [Indian English, isLinguaFrancaFor, interstate communication in India]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isLinguaFrancaFor
Context triple: [Indian English, isLinguaFrancaFor, interstate communication in India]
  • A. isLanguageOf
    Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
  • B. isWidelySpokenIn
    Indicates that a language is spoken by a large portion of the population across many regions or communities within a specified area.
  • C. isWorldLanguage
    Indicates that a language is widely used across multiple countries or regions and serves as a common means of communication beyond its original native community.
  • D. recognizedRegionalLanguage
    Indicates that a language holds officially recognized status within a specific region or subnational jurisdiction.
  • E. deFactoLanguage chosen
    Indicates that a language is used in practice as the primary or common language in a context, even if it has no official legal status there.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a25760af348190bf402089c240887d completed Feb. 28, 2026, 2:48 a.m.
PD Predicate disambiguation batch_69a2563921f8819087f720b1c803579f completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.