Triple

T4817239
Position Surface form Disambiguated ID Type / Status
Subject Madhavrao Peshwa E107617 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: [Madhavrao Peshwa, birthPlace, Saswad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saswad
Context triple: [Madhavrao Peshwa, 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. Palwal
    Palwal is a city in the Indian state of Haryana that forms part of the extended urban area surrounding Delhi.
  • D. Bahadurgarh
    Bahadurgarh is a rapidly developing city in the Indian state of Haryana that forms part of the urban agglomeration surrounding Delhi.
  • E. 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.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c95b0ec8190a562541b0d7417cb completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5caf2a488190aee1e81c71bd4b60 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:24 p.m.