Triple

T1945055
Position Surface form Disambiguated ID Type / Status
Subject Warmia-Masuria region E42042 entity
Predicate hasMajorCity P316 FINISHED
Object Kętrzyn
Kętrzyn is a historic town in northeastern Poland known for its medieval architecture and proximity to the Masurian Lake District.
 E380037 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: Kętrzyn | Statement: [Warmia-Masuria region, hasMajorCity, Kętrzyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kętrzyn
Context triple: [Warmia-Masuria region, hasMajorCity, Kętrzyn]
  • A. Tczew
    Tczew is a historic town in northern Poland on the Vistula River, known for its important railway bridges and role as a regional transport hub.
  • B. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • C. Tarnobrzeg
    Tarnobrzeg is a city in southeastern Poland known historically for its sulfur mining industry and location along the Vistula River.
  • D. Kruszwica
    Kruszwica is a historic town in central Poland, known for its medieval Mouse Tower, lakeside setting on Lake Gopło, and role as an early center of Polish statehood.
  • E. Kwidzyn
    Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
  • 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: Kętrzyn
Triple: [Warmia-Masuria region, hasMajorCity, Kętrzyn]
Generated description
Kętrzyn is a historic town in northeastern Poland known for its medieval architecture and proximity to the Masurian Lake District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kętrzyn
Target entity description: Kętrzyn is a historic town in northeastern Poland known for its medieval architecture and proximity to the Masurian Lake District.
  • A. Tczew
    Tczew is a historic town in northern Poland on the Vistula River, known for its important railway bridges and role as a regional transport hub.
  • B. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • C. Tarnobrzeg
    Tarnobrzeg is a city in southeastern Poland known historically for its sulfur mining industry and location along the Vistula River.
  • D. Kruszwica
    Kruszwica is a historic town in central Poland, known for its medieval Mouse Tower, lakeside setting on Lake Gopło, and role as an early center of Polish statehood.
  • E. Kwidzyn
    Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
  • 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_69b4c34fb7d881908d45f96f621d26ad completed March 14, 2026, 2:09 a.m.
NEDg Description generation batch_69b4c713c3888190bfcdf5fe9b3969c2 completed March 14, 2026, 2:25 a.m.
NED2 Entity disambiguation (via description) batch_69b4c7b31e648190b9b8e1f761163035 completed March 14, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:36 p.m.