Triple

T17937938
Position Surface form Disambiguated ID Type / Status
Subject Chaitanya Charitamrita E448516 entity
Predicate setting P1957 FINISHED
Object Nabadwip 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: Nabadwip | Statement: [Chaitanya Charitamrita, setting, Nabadwip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nabadwip
Context triple: [Chaitanya Charitamrita, setting, Nabadwip]
  • A. Nabadwip chosen
    Nabadwip is a historic pilgrimage town in eastern India, renowned as the birthplace of the Vaishnav saint Chaitanya Mahaprabhu and an important center of Hindu learning and culture.
  • B. Baidyabati
    Baidyabati is a suburban city in West Bengal, India, that forms part of the greater Kolkata urban agglomeration.
  • C. Varendra
    Varendra is a historic region in northwestern Bengal, now largely in Bangladesh, known as an early political and cultural center of medieval Bengali kingdoms.
  • D. Nijhum Dwip
    Nijhum Dwip is a remote, ecologically rich island in Bangladesh known for its mangrove forests, wildlife sanctuary, and tranquil, undeveloped beaches.
  • E. 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.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad937f0881909d22ac8c2be9e35e completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.