Triple

T1244532
Position Surface form Disambiguated ID Type / Status
Subject Pomeranian Voivodeship E26733 entity
Predicate containsCity P294 FINISHED
Object Kościerzyna
Kościerzyna is a historic town in northern Poland known as a local cultural and economic center within the Kashubian region.
 E289205 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: Kościerzyna | Statement: [Pomeranian Voivodeship, containsCity, Kościerzyna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kościerzyna
Context triple: [Pomeranian Voivodeship, containsCity, Kościerzyna]
  • A. Kwidzyn
    Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
  • B. Koszalin
    Koszalin is a city in northwestern Poland near the Baltic Sea, known as a regional cultural and economic center.
  • C. 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.
  • D. Jaworzno
    Jaworzno is a city in southern Poland, located in the Silesian Voivodeship and known for its industrial heritage and role in the Upper Silesian urban area.
  • E. Słupsk
    Słupsk is a historic city in northern Poland known for its medieval architecture and location near the Baltic Sea.
  • 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: Kościerzyna
Triple: [Pomeranian Voivodeship, containsCity, Kościerzyna]
Generated description
Kościerzyna is a historic town in northern Poland known as a local cultural and economic center within the Kashubian region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kościerzyna
Target entity description: Kościerzyna is a historic town in northern Poland known as a local cultural and economic center within the Kashubian region.
  • A. Kwidzyn
    Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
  • B. Koszalin
    Koszalin is a city in northwestern Poland near the Baltic Sea, known as a regional cultural and economic center.
  • C. 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.
  • D. Jaworzno
    Jaworzno is a city in southern Poland, located in the Silesian Voivodeship and known for its industrial heritage and role in the Upper Silesian urban area.
  • E. Słupsk
    Słupsk is a historic city in northern Poland known for its medieval architecture and location near the Baltic Sea.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf6498948190b30b09d845d67ac4 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69afa0333e40819086d963491946e28b completed March 10, 2026, 4:38 a.m.
NEDg Description generation batch_69afa5cd588c81908e840159281d91fd completed March 10, 2026, 5:02 a.m.
NED2 Entity disambiguation (via description) batch_69afa6ea86b08190a067dcaf65178a85 completed March 10, 2026, 5:06 a.m.
Created at: March 1, 2026, 7:47 p.m.