Triple

T19807498
Position Surface form Disambiguated ID Type / Status
Subject Świdnik E475852 entity
Predicate partOf P40 FINISHED
Object Lublin metropolitan area — NE NERFINISHED

How this triple was built (3 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: Lublin metropolitan area | Statement: [Świdnik, partOf, Lublin metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lublin metropolitan area
Context triple: [Świdnik, partOf, Lublin metropolitan area]
  • A. Łódź metropolitan area
    The Łódź metropolitan area is a major urban and industrial region in central Poland centered on the city of Łódź, encompassing surrounding municipalities that form a significant economic, cultural, and transportation hub.
  • B. Warsaw micropolitan area
    The Warsaw micropolitan area is a small urban region centered on Warsaw, Indiana, that serves as a local hub for commerce, services, and surrounding rural communities.
  • C. Warsaw metropolitan area
    The Warsaw metropolitan area is the large urban agglomeration centered on Poland’s capital city, encompassing Warsaw and its surrounding suburban and commuter zones.
  • D. Kraków metropolitan area
    The Kraków metropolitan area is a major urban agglomeration in southern Poland centered on the historic city of Kraków, encompassing surrounding municipalities and serving as a key cultural, economic, and transportation hub for the region.
  • E. Poznań metropolitan area
    The Poznań metropolitan area is a major urban and economic region in western Poland centered on the city of Poznań, encompassing surrounding municipalities integrated through shared infrastructure, labor markets, and services.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lublin metropolitan area
Target entity description: The Lublin metropolitan area is an urban agglomeration in eastern Poland centered on the city of Lublin and encompassing surrounding towns and municipalities as its functional region.
  • A. Łódź metropolitan area
    The Łódź metropolitan area is a major urban and industrial region in central Poland centered on the city of Łódź, encompassing surrounding municipalities that form a significant economic, cultural, and transportation hub.
  • B. Warsaw micropolitan area
    The Warsaw micropolitan area is a small urban region centered on Warsaw, Indiana, that serves as a local hub for commerce, services, and surrounding rural communities.
  • C. Warsaw metropolitan area
    The Warsaw metropolitan area is the large urban agglomeration centered on Poland’s capital city, encompassing Warsaw and its surrounding suburban and commuter zones.
  • D. Kraków metropolitan area
    The Kraków metropolitan area is a major urban agglomeration in southern Poland centered on the historic city of Kraków, encompassing surrounding municipalities and serving as a key cultural, economic, and transportation hub for the region.
  • E. Poznań metropolitan area
    The Poznań metropolitan area is a major urban and economic region in western Poland centered on the city of Poznań, encompassing surrounding municipalities integrated through shared infrastructure, labor markets, and services.
  • F. None of above. chosen

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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65428f5c48190be6ae0d6a77675d2 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:49 p.m.