Triple

T1945073
Position Surface form Disambiguated ID Type / Status
Subject Warmia-Masuria region E42042 entity
Predicate hasMajorCity P316 FINISHED
Object Mikołajki
Mikołajki is a popular resort town in northeastern Poland, known for its picturesque lakes and status as a major sailing and tourist center in the Masurian Lake District.
 E220542 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: Mikołajki | Statement: [Warmia-Masuria region, hasMajorCity, Mikołajki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mikołajki
Context triple: [Warmia-Masuria region, hasMajorCity, Mikołajki]
  • A. Krupówki
    Krupówki is the bustling main pedestrian street and commercial heart of Zakopane, Poland, known for its shops, restaurants, and traditional highland atmosphere.
  • B. Gołąbki
    Gołąbki is a locality in Poland known historically as the place where former Polish president Stanisław Wojciechowski died.
  • C. Mikolaj
    Mikołaj is a given name of Slavic origin that corresponds to the English name Nicholas.
  • D. Szaflary
    Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
  • E. Łuck
    Łuck is the Polish name for Lutsk, a historic city in western Ukraine known for its medieval castle and role as a regional cultural center.
  • 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: Mikołajki
Triple: [Warmia-Masuria region, hasMajorCity, Mikołajki]
Generated description
Mikołajki is a popular resort town in northeastern Poland, known for its picturesque lakes and status as a major sailing and tourist center in the Masurian Lake District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mikołajki
Target entity description: Mikołajki is a popular resort town in northeastern Poland, known for its picturesque lakes and status as a major sailing and tourist center in the Masurian Lake District.
  • A. Krupówki
    Krupówki is the bustling main pedestrian street and commercial heart of Zakopane, Poland, known for its shops, restaurants, and traditional highland atmosphere.
  • B. Gołąbki
    Gołąbki is a locality in Poland known historically as the place where former Polish president Stanisław Wojciechowski died.
  • C. Mikolaj
    Mikołaj is a given name of Slavic origin that corresponds to the English name Nicholas.
  • D. Szaflary
    Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
  • E. Łuck
    Łuck is the Polish name for Lutsk, a historic city in western Ukraine known for its medieval castle and role as a regional cultural center.
  • 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_69abb300af2481908ae359972843c1ef completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbbcc5688190aad081dc8d119e7f completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc50a3488190afe44ee5125d9ebd completed March 8, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69adfcdccce48190a2591b90c81ad084 completed March 8, 2026, 10:49 p.m.
Created at: March 4, 2026, 7:36 p.m.