Triple

T961616
Position Surface form Disambiguated ID Type / Status
Subject Bengal Presidency E20747 entity
Predicate followedBy P78 FINISHED
Object Assam Province E4843 NE FINISHED

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: Assam Province | Statement: [Bengal Presidency, followedBy, Assam Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Assam Province
Context triple: [Bengal Presidency, followedBy, Assam Province]
  • A. Assam chosen
    Assam is a northeastern region of the Indian subcontinent known for its tea plantations, rich biodiversity, and distinct cultural heritage.
  • B. Tripura
    Tripura is a small, hilly state in northeastern India known for its diverse tribal cultures, historical palaces, and dense forests.
  • C. Bihar and Orissa Province
    Bihar and Orissa Province was a former administrative division of British India that encompassed the regions of present-day Bihar and Odisha.
  • D. Bengal Subah
    Bengal Subah was a wealthy and strategically important Mughal province in eastern India, centered on present-day Bangladesh and parts of West Bengal, that became a major hub of trade and later British colonial expansion.
  • E. West Bengal
    West Bengal is an eastern Indian state known for its cultural heritage, literature, and the metropolis of Kolkata (formerly Calcutta).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b415ac688190bbcef455935a3116 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4287830c819095ffc30fc03a7461 completed March 7, 2026, 3:21 p.m.
Created at: March 1, 2026, 7:40 p.m.