Triple

T933093
Position Surface form Disambiguated ID Type / Status
Subject Sabarmati River E20136 entity
Predicate sourceLocation P40 FINISHED
Object Udaipur district E60736 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: Udaipur district | Statement: [Sabarmati River, sourceLocation, Udaipur district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Udaipur district
Context triple: [Sabarmati River, sourceLocation, Udaipur district]
  • A. Bhilwara
    Bhilwara is a prominent industrial city in the Indian state of Rajasthan, known especially for its large textile and garment manufacturing sector.
  • B. Udaipur chosen
    Udaipur is a historic city in India renowned for its lakes, palaces, and role as a former capital of the Mewar kingdom.
  • C. Ajmer-Merwara
    Ajmer-Merwara was a small British Indian province centered on the city of Ajmer in present-day Rajasthan, administered directly by the colonial government rather than through local princely rulers.
  • D. Kutch
    Kutch is a large district in western India known for its salt desert landscapes, rich handicraft traditions, and vibrant cultural festivals.
  • E. Jabalpur district
    Jabalpur district is an administrative district in the central Indian state of Madhya Pradesh, known for its urban center Jabalpur city and proximity to natural and historical attractions.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3627ccc8190a836515b2ea85ec5 completed March 1, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac16fbe454819085020fc245c959ed completed March 7, 2026, 12:15 p.m.
Created at: March 1, 2026, 7:40 p.m.