Triple

T19935679
Position Surface form Disambiguated ID Type / Status
Subject Rewa district E479168 entity
Predicate historicalEntity P3032 FINISHED
Object Rewa 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: Rewa State | Statement: [Rewa district, historicalEntity, Rewa State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rewa State
Context triple: [Rewa district, historicalEntity, Rewa State]
  • A. Rewa State chosen
    Rewa State was a princely state in British India, located in present-day Madhya Pradesh and historically ruled by the Baghela Rajput dynasty.
  • B. Rewa Province
    Rewa Province is an administrative region in Fiji on the island of Viti Levu that includes the nation’s capital city, Suva.
  • C. Mangal State
    Mangal State was a small princely state in the western Himalayan region of British India, historically grouped among the Simla Hill States.
  • D. 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.
  • E. Nabha State
    Nabha State was a princely state in colonial India, ruled by a Sikh dynasty and located in the Punjab region.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a173a448190a25cb859803e3afc completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.