Triple

T22202838
Position Surface form Disambiguated ID Type / Status
Subject Imperial Gazetteer of India E548722 entity
Predicate placeOfPublication P1364 FINISHED
Object Calcutta 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: Calcutta | Statement: [Imperial Gazetteer of India, placeOfPublication, Calcutta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calcutta
Context triple: [Imperial Gazetteer of India, placeOfPublication, 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. Bombay
    Bombay is a small rural settlement in the Auckland Region of New Zealand, located just south of the metropolitan area near the Bombay Hills.
  • C. Mambai
    Mambai is an Austronesian language spoken primarily in East Timor, where it is one of the country’s major indigenous languages.
  • D. Joka, Kolkata
    Joka, Kolkata is a suburban neighborhood in the southwestern part of Kolkata, India, best known for hosting the prestigious Indian Institute of Management Calcutta.
  • E. Chinsurah
    Chinsurah is a historic town in the Hooghly district of West Bengal, India, known for its colonial heritage and educational institutions.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b24c6fc81909e6ae62564846bd1 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.