Triple

T21979732
Position Surface form Disambiguated ID Type / Status
Subject Old Town of Szczecin E542804 entity
Predicate hasHistoricalCoreOf P16505 FINISHED
Object Szczecin 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: Szczecin | Statement: [Old Town of Szczecin, hasHistoricalCoreOf, Szczecin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Szczecin
Context triple: [Old Town of Szczecin, hasHistoricalCoreOf, Szczecin]
  • A. Szczecin chosen
    Szczecin is a large Polish city and important maritime and industrial center in northwestern Poland, situated near the Baltic Sea and the German border.
  • B. Gdańsk
    Gdańsk is a major Polish port city on the Baltic Sea, known for its rich Hanseatic history, shipyards, and role in the origins of the Solidarity movement.
  • C. Bydgoszcz
    Bydgoszcz is a major city in northern Poland known as an important economic, cultural, and academic center on the Brda and Vistula rivers.
  • D. Koszalin
    Koszalin is a city in northwestern Poland near the Baltic Sea, known as a regional cultural and economic center.
  • E. Gdynia
    Gdynia is a major seaport city on Poland’s Baltic coast, developed rapidly in the 20th century into one of the country’s key maritime and economic centers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricalCoreOf
Context triple: [Old Town of Szczecin, hasHistoricalCoreOf, Szczecin]
  • A. historicalCoreOf chosen
    Indicates that one entity constitutes the original or most historically significant central part of another entity.
  • B. hasHistoricalPrecursor
    Indicates that one entity existed earlier and served as a predecessor, model, or influential forerunner to the other in a historical context.
  • C. hasHistoricalArc
    Indicates that something unfolds over time in a way that forms a coherent, meaningful historical development or narrative.
  • D. hasHistoryIn
    Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
  • E. hasHistoricBasisIn
    Indicates that something is grounded in, derived from, or justified by historical events, practices, or precedents.
  • F. None of above.

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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1248bdd88819098bfeca550608f14 completed April 28, 2026, 9:20 p.m.
PD Predicate disambiguation batch_69e6f6154e408190acc5b2c278acaff4 completed April 21, 2026, 3:59 a.m.
Created at: April 16, 2026, 8:03 p.m.