Triple

T12286065
Position Surface form Disambiguated ID Type / Status
Subject Maratha civil war between Shahu and Tarabai factions E292831 entity
Predicate hasLeader P981 FINISHED
Object Rajasbai E306694 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: Rajasbai | Statement: [Maratha civil war between Shahu and Tarabai factions, hasLeader, Rajasbai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajasbai
Context triple: [Maratha civil war between Shahu and Tarabai factions, hasLeader, Rajasbai]
  • A. Rajasbai chosen
    Rajasbai was a queen consort of the Maratha Empire, known primarily as one of the wives of Chhatrapati Rajaram I.
  • B. Rani
    Rani is an honorific title used in South Asia for a queen or a female royal consort.
  • C. Rajani
    Rajani is a Bengali novel by renowned 19th-century writer Bankim Chandra Chattopadhyay, noted for its exploration of social and emotional themes in colonial India.
  • D. Raja Rani
    Raja Rani is a popular 2013 Tamil romantic drama film, best known for its ensemble cast and emotional portrayal of love and second chances.
  • E. Raja
    Raja is a traditional Indian royal title historically used by Hindu monarchs and regional rulers.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d1ffb208190a4b86d7d4ceee045 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7315608190963c714a0b128dbb completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.