Triple

T2741095
Position Surface form Disambiguated ID Type / Status
Subject Balaji Baji Rao E60750 entity
Predicate birthPlace P1 FINISHED
Object Saswad E295230 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: Saswad | Statement: [Balaji Baji Rao, birthPlace, Saswad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saswad
Context triple: [Balaji Baji Rao, birthPlace, Saswad]
  • A. Saswad chosen
    Saswad is a historic town in Maharashtra, India, known for its association with early Maratha Peshwas and several important temples and forts.
  • B. Sawai Madhopur
    Sawai Madhopur is a town in Rajasthan, India, best known as the main gateway to the tiger-rich Ranthambore region and its historic fort.
  • C. Etawah
    Etawah is a city in the Indian state of Uttar Pradesh, known for its location near the Chambal ravines and as an important regional administrative and transportation center.
  • D. Sri Madhopur
    Sri Madhopur is a town in the Sikar district of Rajasthan, India, known for its historical significance and regional trade and agriculture.
  • E. Yamunanagar
    Yamunanagar is an industrial city in the Indian state of Haryana, known for its plywood, paper, and metal industries and its proximity to the Yamuna River.
  • 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_69afc039a9988190a01036b15a19be6c completed March 10, 2026, 6:54 a.m.
Created at: March 6, 2026, 9:56 p.m.