Triple

T7991281
Position Surface form Disambiguated ID Type / Status
Subject Sunil Gangopadhyay E186011 entity
Predicate birthPlace P1 FINISHED
Object Faridpur District E501827 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: Faridpur District | Statement: [Sunil Gangopadhyay, birthPlace, Faridpur District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faridpur District
Context triple: [Sunil Gangopadhyay, birthPlace, Faridpur District]
  • A. Kishoreganj District
    Kishoreganj District is an administrative district in central Bangladesh known for its riverine landscape, cultural heritage, and agricultural economy.
  • B. Munshiganj District
    Munshiganj District is an administrative district in central Bangladesh known for its historical significance and proximity to the capital, Dhaka.
  • C. Faridpur chosen
    Faridpur is a historic town in central Bangladesh known for its cultural heritage and role in the Bengal Renaissance.
  • D. Shariatpur District
    Shariatpur District is an administrative district in central Bangladesh known for its riverine landscape and agriculture, situated within the Dhaka Division.
  • E. Brahmanbaria District
    Brahmanbaria District is an administrative region in eastern Bangladesh known for its cultural heritage and historical significance.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c6fc19c8190b98023e257c2f4f2 completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe17811081909c19f18c853617af completed April 1, 2026, 6:41 a.m.
Created at: March 30, 2026, 5:16 p.m.