Triple

T21142754
Position Surface form Disambiguated ID Type / Status
Subject Mahi Kantha Agency E520973 entity
Predicate hadPrincelyState P74995 FINISHED
Object Malpur 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: Malpur State | Statement: [Mahi Kantha Agency, hadPrincelyState, Malpur State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malpur State
Context triple: [Mahi Kantha Agency, hadPrincelyState, Malpur State]
  • A. Malpur State chosen
    Malpur State was a former princely state in western India, located in what is now Gujarat’s Sabarkantha region.
  • B. Baraundha State
    Baraundha State was a former princely state in British India located in the Bagelkhand region, ruled by local royalty under indirect colonial administration.
  • C. Bijawar State
    Bijawar State was a former princely state in British India, located in the Bundelkhand region of present-day Madhya Pradesh.
  • D. Ali Rajpur State
    Ali Rajpur State was a former princely state in British India, historically administered under the Rewa Kantha Agency in what is now western India.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723fad02c8190a8e9fb82f0491642 completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:57 p.m.