Triple

T6499733
Position Surface form Disambiguated ID Type / Status
Subject Haryanvi E148853 entity
Predicate spokenIn P2266 FINISHED
Object Rajasthan (border areas) E9756 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: Rajasthan (border areas) | Statement: [Haryanvi, spokenIn, Rajasthan (border areas)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajasthan (border areas)
Context triple: [Haryanvi, spokenIn, Rajasthan (border areas)]
  • A. Sirohi State
    Sirohi State was a princely state in western India, ruled by Rajput chiefs and later integrated into the Indian Union after independence.
  • B. Jaisalmer State
    Jaisalmer State was a princely state in western India, centered on the desert city of Jaisalmer and ruled by Bhati Rajput rulers until Indian independence.
  • C. Rajasthan chosen
    Rajasthan is a northwestern Indian state known for its vast Thar Desert, historic Rajput forts and palaces, and rich cultural heritage.
  • D. Sabarkantha states
    The Sabarkantha states were a group of princely states in what is now northern Gujarat, India, that existed under British suzerainty before independence.
  • E. Shekhawati
    Shekhawati is a dialect of the Rajasthani language spoken primarily in the Shekhawati region of northern Rajasthan, India.
  • 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_69c687e9ad288190bae5bcac9c8ac855 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c68ad1c46c819089db43e7c3a8d160 completed March 27, 2026, 1:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb1f649c8190bcc26f15d7a4faca completed March 27, 2026, 6:23 p.m.
Created at: March 27, 2026, 1:42 p.m.