Triple

T1945051
Position Surface form Disambiguated ID Type / Status
Subject Warmia-Masuria region E42042 entity
Predicate hasMajorCity P316 FINISHED
Object Giżycko
Giżycko is a popular lakeside town in northeastern Poland, known as a major sailing and tourism center in the Masurian Lake District.
 E373257 NE FINISHED

How this triple was built (4 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: Giżycko | Statement: [Warmia-Masuria region, hasMajorCity, Giżycko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Giżycko
Context triple: [Warmia-Masuria region, hasMajorCity, Giżycko]
  • A. Kwidzyn
    Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
  • B. Elbląg
    Elbląg is a historic city in northern Poland known for its reconstructed Old Town, medieval heritage, and role as an important port and industrial center.
  • C. Białystok
    Białystok is a city in northeastern Poland best known as the birthplace of L. L. Zamenhof and the cradle of the international language Esperanto.
  • D. Koszalin
    Koszalin is a city in northwestern Poland near the Baltic Sea, known as a regional cultural and economic center.
  • E. Olsztyn
    Olsztyn is a historic city in northern Poland known for its medieval architecture, lakes, and role as the capital of the Warmian-Masurian Voivodeship.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Giżycko
Triple: [Warmia-Masuria region, hasMajorCity, Giżycko]
Generated description
Giżycko is a popular lakeside town in northeastern Poland, known as a major sailing and tourism center in the Masurian Lake District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Giżycko
Target entity description: Giżycko is a popular lakeside town in northeastern Poland, known as a major sailing and tourism center in the Masurian Lake District.
  • A. Kwidzyn
    Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
  • B. Elbląg
    Elbląg is a historic city in northern Poland known for its reconstructed Old Town, medieval heritage, and role as an important port and industrial center.
  • C. Białystok
    Białystok is a city in northeastern Poland best known as the birthplace of L. L. Zamenhof and the cradle of the international language Esperanto.
  • D. Koszalin
    Koszalin is a city in northwestern Poland near the Baltic Sea, known as a regional cultural and economic center.
  • E. Olsztyn
    Olsztyn is a historic city in northern Poland known for its medieval architecture, lakes, and role as the capital of the Warmian-Masurian Voivodeship.
  • F. None of above. chosen

Provenance (5 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb2ff43108190af37ad12d123dcba completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b432e588308190bd331d7b8776e546 completed March 13, 2026, 3:53 p.m.
NEDg Description generation batch_69b436c3d6a0819081478d3cafb6f40b completed March 13, 2026, 4:09 p.m.
NED2 Entity disambiguation (via description) batch_69b43725f4108190b8f19fc730b72d98 completed March 13, 2026, 4:11 p.m.
Created at: March 4, 2026, 7:36 p.m.