Triple

T1215185
Position Surface form Disambiguated ID Type / Status
Subject Maulana Abul Kalam Azad E26091 entity
Predicate residence P75 FINISHED
Object Calcutta E4838 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: Calcutta | Statement: [Maulana Abul Kalam Azad, residence, Calcutta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calcutta
Context triple: [Maulana Abul Kalam Azad, residence, 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. Chandannagar
    Chandannagar is a former French colonial town in West Bengal, India, known for its historic riverside architecture and cultural blend of French and Bengali influences.
  • C. Mumbai
    Mumbai is a densely populated coastal metropolis in western India that serves as the country’s financial hub and the center of its film industry, Bollywood.
  • D. Kharagpur
    Kharagpur is an industrial city in eastern India best known for hosting the first campus of the Indian Institute of Technology (IIT Kharagpur) and one of the country’s longest railway platforms.
  • E. Durgapur
    Durgapur is a major industrial city in eastern India known for its steel plants and planned urban infrastructure.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be0370b4819093618930f4eecfcc completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad51996dc08190afecb40095e3d3e2 completed March 8, 2026, 10:38 a.m.
Created at: March 1, 2026, 7:46 p.m.