Triple

T22321375
Position Surface form Disambiguated ID Type / Status
Subject Bardhaman district E551794 entity
Predicate contains P35 FINISHED
Object Katwa 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: Katwa | Statement: [Bardhaman district, contains, Katwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katwa
Context triple: [Bardhaman district, contains, Katwa]
  • A. Katwa
    Katwa is a health zone and town in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected during the 2018–2020 Kivu Ebola epidemic.
  • B. Katwa chosen
    Katwa is a town in the Purba Bardhaman district of West Bengal, India, known as a local commercial and transport hub in the region.
  • C. Watamu
    Watamu is a small coastal town in Kenya renowned for its white-sand beaches, coral reefs, and marine national park along the Indian Ocean.
  • D. Zumwa
    Zumwa is the Gbagyi-language name for Zuma Rock, the iconic monolithic inselberg near Abuja, Nigeria.
  • E. Tamba
    Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15764d3a48190af79ce4642b7f563 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:42 p.m.