Triple

T20180425
Position Surface form Disambiguated ID Type / Status
Subject Bagelkhand Agency E492711 entity
Predicate hasPrincelyState P74995 FINISHED
Object Kothi 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: Kothi State | Statement: [Bagelkhand Agency, hasPrincelyState, Kothi State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kothi State
Context triple: [Bagelkhand Agency, hasPrincelyState, Kothi State]
  • A. Kothi State chosen
    Kothi State was a small princely state in central India that formed part of the Bagelkhand Agency during the British colonial period.
  • B. Samthar State
    Samthar State was a former princely state in colonial India, located in what is now Uttar Pradesh and ruled by a local dynasty under British suzerainty.
  • C. Rajpipla State
    Rajpipla State was a former princely state in British India, located in present-day Gujarat.
  • D. Bijawar State
    Bijawar State was a former princely state in British India, located in the Bundelkhand region of present-day Madhya Pradesh.
  • E. Mundhar State
    Mundhar State was a small princely hill state located in the Simla Hills region of colonial India.
  • 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.