Triple

T23170606
Position Surface form Disambiguated ID Type / Status
Subject Mughal conquest of Bengal E578848 entity
Predicate location P40 FINISHED
Object Bengal 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: Bengal | Statement: [Mughal conquest of Bengal, location, Bengal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bengal
Context triple: [Mughal conquest of Bengal, location, Bengal]
  • A. Bengal chosen
    Bengal is a historical and cultural region in the eastern part of the Indian subcontinent, known for its rich literary, artistic, and political heritage and now divided between Bangladesh and the Indian state of West Bengal.
  • B. Bengal
    The Bengal is a tiger-themed school mascot commonly used to represent athletic teams and school spirit.
  • C. La Banga
    La Banga is a musical artist known for collaborating with the group The Movement.
  • D. Bangála
    Bangála is an alternative name for Bangala, which can refer to various places, languages, or cultural entities associated with Central or West Africa depending on context.
  • E. Motijheel
    Motijheel is a major commercial and financial district in Dhaka, Bangladesh, known for its dense concentration of offices, banks, and businesses.
  • 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_69e245fd2a388190b814c0dfa15f7148 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f2f10208190b3a0f9a4c790cb0a completed April 29, 2026, 4:55 a.m.
Created at: April 17, 2026, 4:03 p.m.