Triple

T20500426
Position Surface form Disambiguated ID Type / Status
Subject Alirajpur State E503284 entity
Predicate hasBorderWith P224 FINISHED
Object Jhabua 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: Jhabua State | Statement: [Alirajpur State, hasBorderWith, Jhabua State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jhabua State
Context triple: [Alirajpur State, hasBorderWith, Jhabua State]
  • A. Jhabua State chosen
    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.
  • B. Alirajpur State
    Alirajpur State was a former princely state in colonial India, located in what is now Madhya Pradesh and ruled by local Rajput chiefs under British suzerainty.
  • C. Mundhar State
    Mundhar State was a small princely hill state located in the Simla Hills region of colonial India.
  • D. Narsinghgarh State
    Narsinghgarh State was a former princely state in central India, historically ruled by local royalty under British suzerainty.
  • E. Dhrol State
    Dhrol State was a former princely state in western India historically governed by the Jadeja Rajput dynasty.
  • 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cc10cd08190915b6c29c6473f77 completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.