Triple

T14590437
Position Surface form Disambiguated ID Type / Status
Subject North Indian kingdoms E342427 entity
Predicate capitalRegion P3877 FINISHED
Object Rajasthan 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 | Statement: [North Indian kingdoms, capitalRegion, Rajasthan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajasthan
Context triple: [North Indian kingdoms, capitalRegion, Rajasthan]
  • A. Rajasthan chosen
    Rajasthan is a northwestern Indian state known for its vast Thar Desert, historic Rajput forts and palaces, and rich cultural heritage.
  • B. Gujarat
    Gujarat is a western coastal state of India known for its significant role in trade and industry, rich cultural heritage, and historic cities such as Ahmedabad.
  • C. Jaipur State
    Jaipur State was a prominent princely state in pre-independence India, ruled by Rajput kings from the Kachwaha dynasty with its capital at the historic city of Jaipur.
  • D. Rajasthan (Malwa area)
    Rajasthan (Malwa area) is a historic region in central India known for its distinctive Malwa painting tradition and rich Rajput-era cultural heritage.
  • E. Chhattisgarh
    Chhattisgarh is a state in central India known for its rich mineral resources, dense forests, tribal cultures, and growing industrial and power sectors.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4249af08190962009741d1f7d41 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda90c365481908a8a060cb1908775 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:24 a.m.