Triple

T15053370
Position Surface form Disambiguated ID Type / Status
Subject Oberhausen E379422 entity
Predicate hasTwinTown P919 FINISHED
Object Pyskowice
Pyskowice is a small town in southern Poland, located in the Silesian Voivodeship and known for its historical architecture and regional industrial heritage.
E1371914 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: Pyskowice | Statement: [Oberhausen, hasTwinTown, Pyskowice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pyskowice
Context triple: [Oberhausen, hasTwinTown, Pyskowice]
  • A. Rakowice
    Rakowice is a historic district in Kraków, Poland, known for its large military cemetery and proximity to the city center.
  • B. Pyrzowice
    Pyrzowice is a village in southern Poland best known for hosting Katowice International Airport, one of the country’s major air transport hubs.
  • C. Wietrzychowice
    Wietrzychowice is a village in southern Poland that serves as the seat of its local administrative district within Tarnów County in the Lesser Poland Voivodeship.
  • D. Wojciechowice
    Wojciechowice is a village located in Sandomierz County in southeastern Poland.
  • E. Krzeszowice
    Krzeszowice is a town in southern Poland known for its historic spa traditions and picturesque location near Kraków.
  • 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: Pyskowice
Triple: [Oberhausen, hasTwinTown, Pyskowice]
Generated description
Pyskowice is a small town in southern Poland, located in the Silesian Voivodeship and known for its historical architecture and regional industrial heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pyskowice
Target entity description: Pyskowice is a small town in southern Poland, located in the Silesian Voivodeship and known for its historical architecture and regional industrial heritage.
  • A. Rakowice
    Rakowice is a historic district in Kraków, Poland, known for its large military cemetery and proximity to the city center.
  • B. Pyrzowice
    Pyrzowice is a village in southern Poland best known for hosting Katowice International Airport, one of the country’s major air transport hubs.
  • C. Wietrzychowice
    Wietrzychowice is a village in southern Poland that serves as the seat of its local administrative district within Tarnów County in the Lesser Poland Voivodeship.
  • D. Wojciechowice
    Wojciechowice is a village located in Sandomierz County in southeastern Poland.
  • E. Krzeszowice
    Krzeszowice is a town in southern Poland known for its historic spa traditions and picturesque location near Kraków.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda92091c81909180f486edf01405 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0723ef338c819084b9f2d04aea4290 completed May 15, 2026, 1:47 p.m.
NEDg Description generation batch_6a07256bcabc819090f9a13046df763f completed May 15, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0726306be48190962cb5eebb214136 completed May 15, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:01 a.m.