Triple

T2597664
Position Surface form Disambiguated ID Type / Status
Subject Dhundhar E58269 entity
Predicate historicalLanguage P7165 FINISHED
Object Dhundhari E56905 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: Dhundhari | Statement: [Dhundhar, historicalLanguage, Dhundhari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dhundhari
Context triple: [Dhundhar, historicalLanguage, Dhundhari]
  • A. Dhundhari chosen
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • B. Dhundhar
    Dhundhar is a historical region in eastern Rajasthan, India, centered around Jaipur and known for its rich Rajput heritage and cultural significance.
  • C. Shivpuri
    Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
  • D. Singhwara
    Singhwara is a town located in the Darbhanga district of the Indian state of Bihar.
  • E. Deoli
    Deoli is a town in the Indian state of Maharashtra, situated within the Wardha district and known for its agricultural surroundings and local trade.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd4548b1081909d28f88ea5e14202 completed March 7, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98b03dd08190a7d0df9f06fb3048 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:49 p.m.