Triple

T1945178
Position Surface form Disambiguated ID Type / Status
Subject Warmia-Masuria region E42042 entity
Predicate hasMajorCity P316 FINISHED
Object Płośnica
Płośnica is a village in northern Poland located in the Warmian-Masurian Voivodeship, known for its rural character and proximity to the region’s lakes and forests.
 E229205 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: Płośnica | Statement: [Warmia-Masuria region, hasMajorCity, Płośnica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Płośnica
Context triple: [Warmia-Masuria region, hasMajorCity, Płośnica]
  • A. Pasłęk
    Pasłęk is a historic town in northern Poland known for its medieval architecture and location within the Warmian-Masurian Voivodeship.
  • B. Płoskinia
    Płoskinia is a village in northern Poland located in the Warmian-Masurian Voivodeship, known for its rural character and proximity to the region’s lakes and forests.
  • C. Słupia
    Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • D. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • E. Orzysz
    Orzysz is a small town in northeastern Poland known for its lakeside setting and proximity to extensive forests and military training grounds.
  • 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: Płośnica
Triple: [Warmia-Masuria region, hasMajorCity, Płośnica]
Generated description
Płośnica is a village in northern Poland located in the Warmian-Masurian Voivodeship, known for its rural character and proximity to the region’s lakes and forests.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Płośnica
Target entity description: Płośnica is a village in northern Poland located in the Warmian-Masurian Voivodeship, known for its rural character and proximity to the region’s lakes and forests.
  • A. Pasłęk
    Pasłęk is a historic town in northern Poland known for its medieval architecture and location within the Warmian-Masurian Voivodeship.
  • B. Płoskinia
    Płoskinia is a village in northern Poland located in the Warmian-Masurian Voivodeship, known for its rural character and proximity to the region’s lakes and forests.
  • C. Słupia
    Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • D. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • E. Orzysz
    Orzysz is a small town in northeastern Poland known for its lakeside setting and proximity to extensive forests and military training grounds.
  • 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_69ae1fd173b881909fbd454fc9d7fabb completed March 9, 2026, 1:18 a.m.
NEDg Description generation batch_69ae2078f5bc81909e4226e4f4188e87 completed March 9, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69ae2121a43481908ea6eef3d4e06407 completed March 9, 2026, 1:23 a.m.
Created at: March 4, 2026, 7:36 p.m.