Triple

T452039
Position Surface form Disambiguated ID Type / Status
Subject Mother Teresa E7150 entity
Predicate placeOfActivity P1527 FINISHED
Object Kolkata 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: Kolkata | Statement: [Mother Teresa, placeOfActivity, Kolkata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kolkata
Context triple: [Mother Teresa, placeOfActivity, Kolkata]
  • 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. Guwahati
    Guwahati is a major city in northeastern India, serving as a key cultural, economic, and transportation hub for the region.
  • 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. Kanpur
    Kanpur is a major industrial city in the northern Indian state of Uttar Pradesh, historically significant as a key site of conflict during the Indian Rebellion of 1857.
  • E. Lucknow
    Lucknow is the capital city of the Indian state of Uttar Pradesh, renowned for its rich cultural heritage, refined Urdu literature, Awadhi cuisine, and elegant Mughal and colonial-era architecture.
  • 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef854f7481909dc2207faf0327ec completed Feb. 28, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5089817248190b53d78e5b937026b completed March 2, 2026, 3:48 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.