Triple

T22459980
Position Surface form Disambiguated ID Type / Status
Subject John Fendall Jr. E555203 entity
Predicate workLocation P7 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: [John Fendall Jr., workLocation, Calcutta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calcutta
Context triple: [John Fendall Jr., workLocation, 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b7eb5688190bd5e41d4d8189668 completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.