Triple

T6320203
Position Surface form Disambiguated ID Type / Status
Subject Alirajpur district E141717 entity
Predicate hasMajorLanguage P207 FINISHED
Object Bhili E460693 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: Bhili | Statement: [Alirajpur district, hasMajorLanguage, Bhili]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhili
Context triple: [Alirajpur district, hasMajorLanguage, Bhili]
  • A. Bhili chosen
    Bhili is an Indo-Aryan language spoken primarily by the Bhil tribal communities in western and central India.
  • B. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • C. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • D. Mahoba
    Mahoba is a historic town in Uttar Pradesh, India, renowned for its role as a prominent center of power and culture in the Bundelkhand region, especially under the Chandela rulers.
  • E. Shivpuri
    Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
  • 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c61f008190b316b9ff1023b057 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d33d70c8190af6acdf5158f9067 completed March 27, 2026, 7:09 a.m.
Created at: March 22, 2026, 4:29 p.m.