Triple

T36365329
Position Surface form Disambiguated ID Type / Status
Subject Chhapra Assembly constituency E895606 entity
Predicate languageUsedInOfficialWork P117460 FINISHED
Object Hindi NE NERFINISHED

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: Hindi | Statement: [Chhapra Assembly constituency, languageUsedInOfficialWork, Hindi]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageUsedInOfficialWork
Context triple: [Chhapra Assembly constituency, languageUsedInOfficialWork, Hindi]
  • A. languageOfOfficialDuties
    Indicates the language that a person or role is required or authorized to use when performing their official duties.
  • B. officialLanguageUse
    Indicates that a particular language is formally designated and used by an authority (such as a government or institution) for official communication, documentation, or functions.
  • C. hasOfficialLanguageOfWork chosen
    Indicates that an entity uses a specified language as its official medium for conducting work or formal activities.
  • D. languageOfOfficialReports
    Indicates the language in which an entity’s official reports are written or issued.
  • E. officialLanguage
    Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
  • 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_69f76e5044248190b390d8887dc03254 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a0120f070b081909b6d1a3d8ee6b80e completed May 11, 2026, 12:21 a.m.
PD Predicate disambiguation batch_6a01209da37481909683e38f264b15ef completed May 11, 2026, 12:19 a.m.
Created at: May 3, 2026, 4:10 p.m.