Triple

T17451891
Position Surface form Disambiguated ID Type / Status
Subject Wyspa Piasek E424931 entity
Predicate partOf P40 FINISHED
Object Wrocław river islands NE NERFINISHED

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: Wrocław river islands | Statement: [Wyspa Piasek, partOf, Wrocław river islands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wrocław river islands
Context triple: [Wyspa Piasek, partOf, Wrocław river islands]
  • A. Oder River islands chosen
    The Oder River islands are a group of scenic river islands in Wrocław that shape the city’s distinctive landscape and host parks, historic sites, and cultural venues.
  • B. Bydgoszcz weirs
    Bydgoszcz weirs are a system of hydraulic structures in Bydgoszcz, Poland, used to regulate water levels and flow along the Brda River within the city.
  • C. Załęski
    Załęski is a Polish surname, a diacritic variant of Zaleski, borne by individuals and families of Polish origin.
  • D. Wawer
    Wawer is a district in southeastern Warsaw, Poland, historically known as the site of a notorious World War II Nazi massacre of Polish civilians.
  • E. Ostrów Wielkopolski
    Ostrów Wielkopolski is a town in west-central Poland known for its industrial heritage and role as a local economic and cultural center in the Greater Poland region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4513e57248190824b540865311f44 completed April 19, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:47 a.m.