Triple

T18457557
Position Surface form Disambiguated ID Type / Status
Subject Jadeja E450942 entity
Predicate regionOfInfluence P2828 FINISHED
Object Dhrol 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: Dhrol State | Statement: [Jadeja, regionOfInfluence, Dhrol State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dhrol State
Context triple: [Jadeja, regionOfInfluence, Dhrol State]
  • A. Dhrol State chosen
    Dhrol State was a former princely state in western India historically governed by the Jadeja Rajput dynasty.
  • B. Jhabua State
    Jhabua State was a former princely state in western India, located in what is now Madhya Pradesh and historically ruled by Rajput chiefs under British suzerainty.
  • C. Nandod State
    Nandod State was a former princely state in British India, later more widely known as Rajpipla State, located in present-day Gujarat.
  • D. Mundhar State
    Mundhar State was a small princely hill state located in the Simla Hills region of colonial India.
  • E. Ratlam State
    Ratlam State was a princely state in British India, located in the Malwa region of present-day Madhya Pradesh and ruled by a dynasty of Rathore Rajputs.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a7c18d88190ac17f58111722223 completed April 19, 2026, 7:18 p.m.
Created at: April 10, 2026, 11:31 a.m.