Triple

T20961459
Position Surface form Disambiguated ID Type / Status
Subject Rana of Idar E516255 entity
Predicate hasHereditaryTitle P1913 FINISHED
Object Rana of Idar NE NERFINISHED

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: Rana of Idar | Statement: [Rana of Idar, hasHereditaryTitle, Rana of Idar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rana of Idar
Context triple: [Rana of Idar, hasHereditaryTitle, Rana of Idar]
  • A. Rana of Idar chosen
    Rana of Idar was a Rajput ruler of the princely state of Idar in western India, known for resisting the expansionist campaigns of the Gujarat Sultanate.
  • B. Rana of Umarkot
    The Rana of Umarkot is the hereditary Hindu Rajput ruler historically associated with the princely estate centered on Umarkot Fort in present-day Sindh, Pakistan.
  • C. Hidimba
    Hidimba is a demon character from the Indian epic Mahabharata, known for confronting the Pandavas in the forest and being slain by Bhima.
  • D. Gajanana
    Gajanana is a revered aspect of the Hindu deity Ganesha, emphasizing his elephant-faced form and role as the remover of obstacles and bestower of wisdom.
  • E. Bijodaira
    Bijodaira is a scenic forested area and transportation hub along Japan’s Tateyama Kurobe Alpine Route, known for its ancient cedar trees and mountain views.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6fd1d48190ad0ec7eb72f84889 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:31 p.m.