Triple

T4722304
Position Surface form Disambiguated ID Type / Status
Subject Surendranath Banerjee E104796 entity
Predicate placeOfBirth P1 FINISHED
Object Calcutta E4838 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: Calcutta | Statement: [Surendranath Banerjee, placeOfBirth, Calcutta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calcutta
Context triple: [Surendranath Banerjee, placeOfBirth, Calcutta]
  • A. Calcutta chosen
    Calcutta, now known as Kolkata, is a major cultural and commercial metropolis in eastern India that served as the capital of British India until the early 20th century.
  • B. Garden Reach, Calcutta
    Garden Reach, Calcutta is a riverside neighborhood in Kolkata, India, historically notable as the exiled residence of Awadh’s last Nawab, Wajid Ali Shah.
  • C. Chandannagar
    Chandannagar is a former French colonial town in West Bengal, India, known for its historic riverside architecture and cultural blend of French and Bengali influences.
  • D. Mumbai
    Mumbai is a densely populated coastal metropolis in western India that serves as the country’s financial hub and the center of its film industry, Bollywood.
  • E. Serampore
    Serampore is a historic town on the Hooghly River in West Bengal, India, known for its colonial-era architecture and as a former Danish trading settlement.
  • 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd642b82008190bb70dd60a4149502 completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4399ded08190ba97c9c2f98395ec completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:18 p.m.