Triple

T18957155
Position Surface form Disambiguated ID Type / Status
Subject Wschowa County E463809 entity
Predicate hasTown P847 FINISHED
Object Sława
Sława is a small town in western Poland known for its scenic lakeside setting and recreational tourism.
E1351164 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: Sława | Statement: [Wschowa County, hasTown, Sława]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sława
Context triple: [Wschowa County, hasTown, Sława]
  • A. Sluha Narodu
    Sluha Narodu is a Ukrainian political party founded around Volodymyr Zelenskyy and named after his popular satirical TV series about an everyman who becomes president.
  • B. Slawno
    Sławno is a small town in northwestern Poland known for its historic architecture and location near the Baltic coast.
  • C. Szaflary
    Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
  • D. Zaslawye
    Zaslawye is a historic town in Belarus known for its medieval origins and location near the capital city, Minsk.
  • E. 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.
  • 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: Sława
Triple: [Wschowa County, hasTown, Sława]
Generated description
Sława is a small town in western Poland known for its scenic lakeside setting and recreational tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sława
Target entity description: Sława is a small town in western Poland known for its scenic lakeside setting and recreational tourism.
  • A. Sluha Narodu
    Sluha Narodu is a Ukrainian political party founded around Volodymyr Zelenskyy and named after his popular satirical TV series about an everyman who becomes president.
  • B. Slawno
    Sławno is a small town in northwestern Poland known for its historic architecture and location near the Baltic coast.
  • C. Szaflary
    Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
  • D. Zaslawye
    Zaslawye is a historic town in Belarus known for its medieval origins and location near the capital city, Minsk.
  • E. 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.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5cee8348190b6506b10aed6c58a completed April 20, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a059fd529c8819099696dce6a9040de completed May 14, 2026, 10:11 a.m.
NEDg Description generation batch_6a05a161c8e88190a6f9c9abe3314487 completed May 14, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a05a1cb500481908608daee7537dd0c completed May 14, 2026, 10:19 a.m.
Created at: April 10, 2026, noon