Triple

T17080461
Position Surface form Disambiguated ID Type / Status
Subject Mykhailo Verbytsky E414455 entity
Predicate workLocation P7 FINISHED
Object Lviv E1196234 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: Lviv | Statement: [Mykhailo Verbytsky, workLocation, Lviv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lviv
Context triple: [Mykhailo Verbytsky, workLocation, Lviv]
  • A. Lutsk
    Lutsk is a historic city in northwestern Ukraine, known as the administrative center of Volyn Oblast and one of the region’s oldest cultural and economic hubs.
  • B. Lwów
    Lwów is a historic city in Eastern Europe, now known as Lviv in western Ukraine, long recognized as a major cultural and political center of the region.
  • C. Lviv, Ukraine chosen
    Lviv, Ukraine is a historic city in western Ukraine known for its well-preserved medieval architecture, rich cultural life, and role as an intellectual center of the region.
  • D. Rzeszów
    Rzeszów is a major city in southeastern Poland known as an important economic, academic, and cultural center of the region.
  • E. Uzhhorod
    Uzhhorod is a historic city in western Ukraine near the Slovak and Hungarian borders, known for its multicultural heritage and as the administrative center of Zakarpattia Oblast.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe24a6481908b4596c95220df4a completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee243c081909aa6d470e002222a completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.