Triple

T8654695
Position Surface form Disambiguated ID Type / Status
Subject Bilaspur E205384 entity
Predicate language P15 FINISHED
Object Chhattisgarhi E65041 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: Chhattisgarhi | Statement: [Bilaspur, language, Chhattisgarhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chhattisgarhi
Context triple: [Bilaspur, language, Chhattisgarhi]
  • A. Chhattisgarhi chosen
    Chhattisgarhi is an Indo-Aryan language spoken primarily in the Indian state of Chhattisgarh and surrounding regions.
  • B. Chhattisgarh
    Chhattisgarh is a state in central India known for its rich mineral resources, dense forests, tribal cultures, and growing industrial and power sectors.
  • C. Madhya Pradesh
    Madhya Pradesh is a large central Indian state known for its historical cities, diverse tribal cultures, and significant forested and wildlife areas including several major national parks.
  • D. Maharashtri
    Maharashtri is an ancient Middle Indo-Aryan language, a major literary Prakrit historically used in parts of western and central India.
  • E. Orissa
    Orissa is a historical region and modern Indian state on the eastern coast of India, known for its rich cultural heritage, ancient temples, and significant role in the subcontinent’s political and economic history.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48432568819093b9a867b4f62b78 completed March 31, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf285de8c081908abca2189f206a40 completed April 3, 2026, 2:39 a.m.
Created at: March 30, 2026, 6:29 p.m.