Triple

T21662921
Position Surface form Disambiguated ID Type / Status
Subject Comilla Victorians E534637 entity
Predicate basedIn P40 FINISHED
Object Comilla 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: Comilla | Statement: [Comilla Victorians, basedIn, Comilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comilla
Context triple: [Comilla Victorians, basedIn, Comilla]
  • A. Comilla chosen
    Comilla is a major city in eastern Bangladesh known for its historical sites, educational institutions, and role as a regional commercial hub.
  • B. Faridpur
    Faridpur is a historic town in central Bangladesh known for its cultural heritage and role in the Bengal Renaissance.
  • C. Faridpur
    Faridpur is a town in the Bareilly district of Uttar Pradesh, India, known as a local commercial and administrative center for the surrounding rural region.
  • D. Barisal
    Barisal is a major city in southern Bangladesh, historically known as a cultural and riverine hub of the Bengal region.
  • E. Jessore
    Jessore is a historic town and district in southwestern Bangladesh, known as one of the oldest administrative regions in the area and an important center for trade and culture.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0956e0819093b4794418efe052 completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:36 p.m.