Triple

T2430535
Position Surface form Disambiguated ID Type / Status
Subject University of Kharkiv E52830 entity
Predicate hasNotableFaculty P141 FINISHED
Object Illya Mechnikov E164216 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: Illya Mechnikov | Statement: [University of Kharkiv, hasNotableFaculty, Illya Mechnikov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Illya Mechnikov
Context triple: [University of Kharkiv, hasNotableFaculty, Illya Mechnikov]
  • A. Ilya Ilyich Mechnikov chosen
    Ilya Ilyich Mechnikov was a pioneering Russian zoologist and immunologist best known for discovering phagocytosis and helping to establish the cellular theory of immunity.
  • B. Yevgeny Ivanovsky
    Yevgeny Ivanovsky was a Soviet military commander and general who held senior leadership roles in the Red Army during the mid-20th century.
  • C. Mikhail Anichkov
    Mikhail Anichkov was a Russian engineer after whom the famous Anichkov Bridge in Saint Petersburg is named.
  • D. Nikolai Bunge
    Nikolai Bunge was a 19th-century Russian statesman and economist known for initiating significant financial and economic reforms in the Russian Empire.
  • E. Alexandre Yersin
    Alexandre Yersin was a Swiss-French physician and bacteriologist best known for identifying the plague bacillus (Yersinia pestis) and contributing significantly to infectious disease research in the late 19th century.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99fcd048190a85b95a9a8ae6d4d completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0a9790c81908b50fcae80def595 completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:43 p.m.