Triple

T7296321
Position Surface form Disambiguated ID Type / Status
Subject Nadia district E164529 entity
Predicate containsCity P294 FINISHED
Object Nabadwip E167888 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: Nabadwip | Statement: [Nadia district, containsCity, Nabadwip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nabadwip
Context triple: [Nadia district, containsCity, 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. Nijhum Dwip
    Nijhum Dwip is a remote, ecologically rich island in Bangladesh known for its mangrove forests, wildlife sanctuary, and tranquil, undeveloped beaches.
  • C. 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.
  • D. Gobardanga
    Gobardanga is a town in the Indian state of West Bengal known for its suburban character and connectivity to Kolkata via the Sealdah–Bangaon railway line.
  • E. Kakdwip
    Kakdwip is a town in West Bengal, India, known as a riverine and coastal hub near the Bay of Bengal and a gateway to the Sunderbans region.
  • 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb8d0c6c8190b32cd08b9a5d96cc completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e547c7b88190b792495efb3a215c completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3 p.m.