Triple

T20102818
Position Surface form Disambiguated ID Type / Status
Subject Schwerte E496588 entity
Predicate hasTownTwinning P919 FINISHED
Object Pawlowo
Pawłowo is a village in Poland that is twinned with the German town of Schwerte, reflecting a partnership focused on cultural and community exchange.
E1544381 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: Pawlowo | Statement: [Schwerte, hasTownTwinning, Pawlowo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pawlowo
Context triple: [Schwerte, hasTownTwinning, Pawlowo]
  • A. Mrągowo
    Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
  • B. Grodkowo
    Grodkowo is a settlement in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and natural landscapes.
  • C. Pałuki
    Pałuki is a historical and ethnographic region in north-central Poland, known for its distinctive folk culture, wooden architecture, and numerous lakes.
  • D. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Poniatowa
    Poniatowa is a town in eastern Poland historically known as the site of a Nazi German forced labor camp during World War II.
  • 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: Pawlowo
Triple: [Schwerte, hasTownTwinning, Pawlowo]
Generated description
Pawłowo is a village in Poland that is twinned with the German town of Schwerte, reflecting a partnership focused on cultural and community exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pawlowo
Target entity description: Pawłowo is a village in Poland that is twinned with the German town of Schwerte, reflecting a partnership focused on cultural and community exchange.
  • A. Mrągowo
    Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
  • B. Grodkowo
    Grodkowo is a settlement in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and natural landscapes.
  • C. Pałuki
    Pałuki is a historical and ethnographic region in north-central Poland, known for its distinctive folk culture, wooden architecture, and numerous lakes.
  • D. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Poniatowa
    Poniatowa is a town in eastern Poland historically known as the site of a Nazi German forced labor camp during World War II.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6667170a4819085d07a4188ded541 completed April 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0b3d3bc7ec8190a7119f2d64b8ca25 completed May 18, 2026, 4:24 p.m.
NEDg Description generation batch_6a0b3e5330d88190a3ca4ea190ed80f8 completed May 18, 2026, 4:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0b3f1ea4308190bbd5c7f3a9495f5f completed May 18, 2026, 4:32 p.m.
Created at: April 11, 2026, 11:27 p.m.