Triple

T22321379
Position Surface form Disambiguated ID Type / Status
Subject Bardhaman district E551794 entity
Predicate contains P35 FINISHED
Object Memari 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: Memari | Statement: [Bardhaman district, contains, Memari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Memari
Context triple: [Bardhaman district, contains, Memari]
  • A. Memari chosen
    Memari is a town in the Purba Bardhaman district of West Bengal, India, known as a local commercial and transport hub along the Howrah–Bardhaman railway corridor.
  • B. Phimeanakas
    Phimeanakas is an ancient Hindu temple within Angkor Thom in Cambodia, built in a stepped pyramid style and historically associated with the royal palace of the Khmer Empire.
  • C. Supayalay
    Supayalay was a Burmese queen consort of the Konbaung Dynasty and one of the principal wives of the last king of Burma, Thibaw Min.
  • D. Ngam
    Ngam is a dialect of the Sara language spoken by communities in parts of Central Africa, particularly in Chad and the surrounding region.
  • E. Pemali
    Pemali is a town in Bangka Regency on Bangka Island in Indonesia, known for its tin mining activities and local agricultural production.
  • 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.