Triple

T3176751
Position Surface form Disambiguated ID Type / Status
Subject Lutfunnisa Begum E66482 entity
Predicate region P40 FINISHED
Object Bengal E4840 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: Bengal | Statement: [Lutfunnisa Begum, region, Bengal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bengal
Context triple: [Lutfunnisa Begum, region, 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. Banga
    Banga is an Indian-origin surname most prominently associated with Ajay Banga, the business executive and current President of the World Bank.
  • C. Banga
    Banga is a landlocked agricultural municipality in the province of South Cotabato in the Philippines, known for its rice fields and inland resorts.
  • D. Pandua
    Pandua is a historic city in present-day West Bengal, India, that served as an important political and cultural center during the medieval Bengal Sultanate.
  • E. Bihari
    Bihari is a central character in Rabindranath Tagore’s novel "Chokher Bali," known for his moral integrity and emotional complexity within the story’s web of relationships.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada69b0bec8190957913b44d876079 completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e81e6f98819099317f97f0c7f546 completed March 12, 2026, 4:21 p.m.
Created at: March 8, 2026, 3:06 p.m.