Triple

T2740443
Position Surface form Disambiguated ID Type / Status
Subject Udaipur E60736 entity
Predicate partOf P40 FINISHED
Object Mewar region E279129 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: Mewar region | Statement: [Udaipur, partOf, Mewar region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mewar region
Context triple: [Udaipur, partOf, Mewar region]
  • A. Mewar region chosen
    The Mewar region is a historic area in southern Rajasthan, India, known for its Rajput heritage, hill forts, and former princely state centered around Udaipur.
  • B. Dikhil Region
    Dikhil Region is an administrative region in southwestern Djibouti known for its arid landscapes, border location near Ethiopia, and the town of Dikhil as its capital.
  • C. Majha region
    The Majha region is a historic area of Punjab in India and Pakistan, centered around Amritsar and Lahore, known as a cultural and agricultural heartland of the Punjabi people.
  • D. Merwara region
    Merwara region is a historical area in present-day Rajasthan, India, known for its rugged Aravalli hills and its role as a former princely and administrative region under British rule.
  • E. Karas Region
    Karas Region is the southernmost administrative region of Namibia, known for its arid landscapes, desert scenery, and coastal towns along the Atlantic Ocean.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb2f210881909126307cc92ebfef completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbc828388190af6c3b75ed765401 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:56 p.m.