Triple

T6338093
Position Surface form Disambiguated ID Type / Status
Subject GDA E142541 entity
Predicate countrySubdivisionCodeFor P31833 FINISHED
Object Gdańsk city county E18213 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: Gdańsk city county | Statement: [GDA, countrySubdivisionCodeFor, Gdańsk city county]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gdańsk city county
Context triple: [GDA, countrySubdivisionCodeFor, Gdańsk city county]
  • A. Gdańsk County
    Gdańsk County is an administrative region in northern Poland, surrounding the city of Gdańsk and encompassing several towns and rural areas along the Baltic coast.
  • B. Gdańsk chosen
    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.

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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0654e11988190b708426d3003716a completed March 22, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c91b0ad9188190ad74c33802f50783 completed March 29, 2026, 12:28 p.m.
Created at: March 22, 2026, 4:30 p.m.