Triple

T433028
Position Surface form Disambiguated ID Type / Status
Subject Mumbai E9753 entity
Predicate alsoSpokenLanguage P7445 FINISHED
Object Hindi E5054 NE FINISHED

How this triple was built (3 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: Hindi | Statement: [Mumbai, alsoSpokenLanguage, Hindi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hindi
Context triple: [Mumbai, alsoSpokenLanguage, Hindi]
  • A. Hindi chosen
    Hindi is an Indo-Aryan language widely spoken across northern and central India and used in government, education, media, and popular culture.
  • B. Gujarati
    Gujarati is an Indo-Aryan language primarily spoken in the Indian state of Gujarat and by Gujarati communities worldwide.
  • C. Maithili
    Maithili is an Indo-Aryan language spoken primarily in the eastern Indian state of Bihar and neighboring regions, with a rich literary tradition and official recognition in India.
  • D. Bhojpuri
    Bhojpuri is an Indo-Aryan language spoken primarily in eastern Uttar Pradesh, western Bihar, and parts of Nepal, with a rich folk culture and a large diaspora community.
  • E. Sarnami Hindustani
    Sarnami Hindustani is a Hindi–Bhojpuri-based Indo-Aryan language developed among Indo-Caribbean communities, particularly in Suriname, from the speech of Indian indentured laborers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alsoSpokenLanguage
Context triple: [Mumbai, alsoSpokenLanguage, Hindi]
  • A. areSpokenIn chosen
    Indicates that a particular language is used as a spoken means of communication within a specified region, community, or context.
  • B. languagesSpoken
    Indicates that an entity is able to communicate using one or more specified languages.
  • C. languageOfReleases
    Indicates the language in which the releases associated with an entity are produced or published.
  • D. spokenByMinorityIn
    Indicates that a language or dialect is used primarily by a minority group within a specified geographic or political region.
  • E. isScheduledLanguageOf
    Indicates that a particular language is officially planned or designated to be used for a specific event, program, or context.
  • F. None of above.

Provenance (4 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ef084840819080653004b674cba8 completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4366ad0f48190b0f6c531e232b8fe completed March 1, 2026, 12:51 p.m.
PD Predicate disambiguation batch_69a2edda55e88190b7c17ba94d7df1ce completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.