Triple

T7073572
Position Surface form Disambiguated ID Type / Status
Subject Aravalli district E164757 entity
Predicate hasOfficialLanguage P236 FINISHED
Object Gujarati E8599 NE 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: Gujarati | Statement: [Aravalli district, hasOfficialLanguage, Gujarati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gujarati
Context triple: [Aravalli district, hasOfficialLanguage, Gujarati]
  • A. Gujarati chosen
    Gujarati is an Indo-Aryan language primarily spoken in the Indian state of Gujarat and by Gujarati communities worldwide.
  • B. Hindi
    Hindi is an Indo-Aryan language widely spoken across northern and central India and used in government, education, media, and popular culture.
  • C. Gojri
    Gojri is an Indo-Aryan language traditionally spoken by the Gujjar community across parts of northern India and Pakistan.
  • D. Sindhi
    Sindhi is an Indo-Aryan language spoken primarily in Pakistan and India, known for its rich literary tradition and distinct script variants.
  • E. Sant Bhasha
    Sant Bhasha is a historical North Indian devotional literary language used in Sikh and related spiritual poetry, written in the Gurmukhi script.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4cb76548190bd98876f8ba925b7 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7945fdafc81909c265373627af4e8 completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:39 p.m.