Triple

T17564482
Position Surface form Disambiguated ID Type / Status
Subject Rinteln E427772 entity
Predicate hasTwinTown P919 FINISHED
Object Slawno
Sławno is a small town in northwestern Poland known for its historic architecture and location near the Baltic coast.
 E1274852 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: Slawno | Statement: [Rinteln, hasTwinTown, Slawno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Slawno
Context triple: [Rinteln, hasTwinTown, Slawno]
  • A. Zaslawye
    Zaslawye is a historic town in Belarus known for its medieval origins and location near the capital city, Minsk.
  • B. Redłowo
    Redłowo is a coastal district of the Polish city of Gdynia, known for its residential character and proximity to the Baltic Sea.
  • C. Sławek
    Sławek is a Polish surname most notably borne by Walery Sławek, a prominent early 20th-century Polish politician and close associate of Józef Piłsudski.
  • D. Szaflary
    Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
  • E. Słomniki
    Słomniki is a small town in southern Poland, located in the Lesser Poland Voivodeship.
  • 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: Slawno
Triple: [Rinteln, hasTwinTown, Slawno]
Generated description
Sławno is a small town in northwestern Poland known for its historic architecture and location near the Baltic coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Slawno
Target entity description: Sławno is a small town in northwestern Poland known for its historic architecture and location near the Baltic coast.
  • A. Zaslawye
    Zaslawye is a historic town in Belarus known for its medieval origins and location near the capital city, Minsk.
  • B. Redłowo
    Redłowo is a coastal district of the Polish city of Gdynia, known for its residential character and proximity to the Baltic Sea.
  • C. Sławek
    Sławek is a Polish surname most notably borne by Walery Sławek, a prominent early 20th-century Polish politician and close associate of Józef Piłsudski.
  • D. Szaflary
    Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
  • E. Słomniki
    Słomniki is a small town in southern Poland, located in the Lesser Poland Voivodeship.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592bde448190bf5ed2340440e2b7 completed April 19, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01d2983fe08190b07f0750e6a8e0d4 completed May 11, 2026, 12:59 p.m.
NEDg Description generation batch_6a01d38cff78819099702b41d8285e95 completed May 11, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_6a01d425f9748190b64a0a01fd1a20d0 completed May 11, 2026, 1:05 p.m.
Created at: April 10, 2026, 5:50 a.m.