Triple

T1945108
Position Surface form Disambiguated ID Type / Status
Subject Warmia-Masuria region E42042 entity
Predicate hasMajorCity P316 FINISHED
Object Olsztynek
Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
 E386716 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: Olsztynek | Statement: [Warmia-Masuria region, hasMajorCity, Olsztynek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Olsztynek
Context triple: [Warmia-Masuria region, hasMajorCity, Olsztynek]
  • A. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • B. 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.
  • C. Ostróda
    Ostróda is a town in northern Poland known for its lakeside setting, tourism, and role as a local economic and cultural center.
  • D. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • E. Ostrołęka
    Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative 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: Olsztynek
Triple: [Warmia-Masuria region, hasMajorCity, Olsztynek]
Generated description
Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Olsztynek
Target entity description: Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
  • A. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • B. 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.
  • C. Ostróda
    Ostróda is a town in northern Poland known for its lakeside setting, tourism, and role as a local economic and cultural center.
  • D. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • E. Ostrołęka
    Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative 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_69b4e4b980888190a7df10662789f61e completed March 14, 2026, 4:31 a.m.
NEDg Description generation batch_69b4e5f07c7081908e1aae715984aac4 completed March 14, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69b4e6531b48819083c0d14c2ca4f7c1 completed March 14, 2026, 4:38 a.m.
Created at: March 4, 2026, 7:36 p.m.