Triple

T6704152
Position Surface form Disambiguated ID Type / Status
Subject Oświęcim County E152956 entity
Predicate contains P35 FINISHED
Object Chełmek
Chełmek is a small town in southern Poland known historically for its shoe industry and its location near Oświęcim (Auschwitz).
 E623448 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: Chełmek | Statement: [Oświęcim County, contains, Chełmek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chełmek
Context triple: [Oświęcim County, contains, Chełmek]
  • A. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • B. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • C. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • D. Kromołów
    Kromołów is a historic district of the city of Zawiercie in southern Poland, known as the place where the Warta River begins.
  • E. Zgorzelec
    Zgorzelec is a town in southwestern Poland on the Lusatian Neisse River, forming a twin city with Görlitz in Germany and serving as an important local cultural and transport hub.
  • 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: Chełmek
Triple: [Oświęcim County, contains, Chełmek]
Generated description
Chełmek is a small town in southern Poland known historically for its shoe industry and its location near Oświęcim (Auschwitz).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chełmek
Target entity description: Chełmek is a small town in southern Poland known historically for its shoe industry and its location near Oświęcim (Auschwitz).
  • A. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • B. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • C. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • D. Kromołów
    Kromołów is a historic district of the city of Zawiercie in southern Poland, known as the place where the Warta River begins.
  • E. Zgorzelec
    Zgorzelec is a town in southwestern Poland on the Lusatian Neisse River, forming a twin city with Görlitz in Germany and serving as an important local cultural and transport hub.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0e919748190953d893eb61724e7 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f7df860819099d50871dbe08ad9 completed March 28, 2026, 1:31 a.m.
NEDg Description generation batch_69c7305ab9608190bb54e360860cbefb completed March 28, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69c730dce35c8190b9cc9801d559995d completed March 28, 2026, 1:37 a.m.
Created at: March 27, 2026, 2:06 p.m.