Triple

T20180422
Position Surface form Disambiguated ID Type / Status
Subject Bagelkhand Agency E492711 entity
Predicate hasPrincelyState P74995 FINISHED
Object Maihar State 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: Maihar State | Statement: [Bagelkhand Agency, hasPrincelyState, Maihar State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maihar State
Context triple: [Bagelkhand Agency, hasPrincelyState, Maihar State]
  • A. Maihar State chosen
    Maihar State was a former princely state in central India, historically part of the Bagelkhand Agency, known for its royal patronage of Hindustani classical music and the Maihar gharana.
  • B. Morvi State
    Morvi State was a former princely state in western India, historically governed by the Jadeja Rajput dynasty.
  • C. Mangal State
    Mangal State was a small princely state in the western Himalayan region of British India, historically grouped among the Simla Hill States.
  • D. Virpur State
    Virpur State was a former princely state in western India historically governed by the Jadeja Rajput dynasty.
  • E. Ulwar State
    Ulwar State was a former princely state in British India, located in the region of present-day Rajasthan.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668edf27881909820f9103e72533e completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.