Triple

T4608770
Position Surface form Disambiguated ID Type / Status
Subject Gyddanyzc E100501 entity
Predicate usedAsToponymFor P20238 FINISHED
Object Gdańsk E18213 NE FINISHED

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: Gdańsk | Statement: [Gyddanyzc, usedAsToponymFor, Gdańsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gdańsk
Context triple: [Gyddanyzc, usedAsToponymFor, Gdańsk]
  • A. 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.
  • B. 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.
  • 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. Szczecin
    Szczecin is a large Polish city and important maritime and industrial center in northwestern Poland, situated near the Baltic Sea and the German border.
  • E. Koszalin
    Koszalin is a city in northwestern Poland near the Baltic Sea, known as a regional cultural and economic center.
  • 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: usedAsToponymFor
Context triple: [Gyddanyzc, usedAsToponymFor, Gdańsk]
  • A. hasToponymicUse chosen
    Indicates that a term or name is used as a toponym, i.e., as a place name or geographic designation.
  • B. isToponymic
    Indicates that something is related to or derived from a place name (a toponym).
  • C. hasToponymicDerivatives
    Indicates that a name or term serves as the source from which related place-based or toponymic names are derived.
  • D. hasToponymicForm
    Indicates that one entity is a toponymic (place-name-based) form or variant derived from another entity.
  • E. typeOfToponym
    Indicates the specific category or kind of place name (toponym) that applies to a given geographic entity.
  • F. None of above.

Provenance (4 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd599f08d88190ad4bed8bafb592cd completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c787e303108190ab14b67c338b1377 completed March 28, 2026, 7:48 a.m.
PD Predicate disambiguation batch_69bd522e2d5c8190937d0b5574f78f99 completed March 20, 2026, 1:57 p.m.
Created at: March 20, 2026, 1:12 p.m.