Triple

T2887663
Position Surface form Disambiguated ID Type / Status
Subject Shivaji E59544 entity
Predicate title P38 FINISHED
Object Chhatrapati E277527 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: Chhatrapati | Statement: [Shivaji, title, Chhatrapati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chhatrapati
Context triple: [Shivaji, title, Chhatrapati]
  • A. Chhatrapati Shahu I
    Chhatrapati Shahu I was a prominent Maratha ruler of the early 18th century whose reign helped consolidate and expand the Maratha Empire in India.
  • B. Chhatrapati of the Maratha Empire chosen
    Chhatrapati of the Maratha Empire was the hereditary royal title used by the sovereign rulers of the Maratha state in early modern India, signifying their status as supreme monarchs and military leaders.
  • C. Ramarajabhushanudu
    Ramarajabhushanudu was a prominent Telugu poet and scholar of the Vijayanagara Empire, celebrated as one of the famed Ashtadiggajas in Emperor Krishnadevaraya’s court.
  • D. Balaji Baji Rao
    Balaji Baji Rao was an 18th-century Peshwa of the Maratha Empire who significantly expanded its power and influence across the Indian subcontinent.
  • E. King Chattergy
    King Chattergy is a fictional monarch in Salman Rushdie’s novel "Haroun and the Sea of Stories," ruling the fantastical realm of Gup.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe047aa7c8190a0ed570c13f3a1a2 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0864dc2fc8190bfc946ae454611c6 completed March 10, 2026, 8:59 p.m.
Created at: March 6, 2026, 10:03 p.m.