Triple

T18748227
Position Surface form Disambiguated ID Type / Status
Subject Princely State of Cutch E458457 entity
Predicate predecessor P97 FINISHED
Object Cutch 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: Cutch State | Statement: [Princely State of Cutch, predecessor, Cutch State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cutch State
Context triple: [Princely State of Cutch, predecessor, Cutch State]
  • A. Cutch State chosen
    Cutch State was a princely state in western India, centered in the Kutch (Kachchh) region of present-day Gujarat and ruled historically by the Jadeja Rajput dynasty.
  • B. Morvi State
    Morvi State was a former princely state in western India, historically governed by the Jadeja Rajput dynasty.
  • C. Bijawar State
    Bijawar State was a former princely state in British India, located in the Bundelkhand region of present-day Madhya Pradesh.
  • D. Mundhar State
    Mundhar State was a small princely hill state located in the Simla Hills region of colonial India.
  • E. Dhar State
    Dhar State was a former princely state in central India, historically ruled by the Pawar (Parmar) Maratha dynasty with its capital at the town of Dhar.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579e9903c81908180c46012bd0948 completed April 20, 2026, 12:57 a.m.
Created at: April 10, 2026, 11:51 a.m.