Triple

T7844616
Position Surface form Disambiguated ID Type / Status
Subject Józef Wybicki E181891 entity
Predicate familyName P18 FINISHED
Object Wybicki
Wybicki is a Polish surname most notably borne by Józef Wybicki, the author of the Polish national anthem.
E699054 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: Wybicki | Statement: [Józef Wybicki, familyName, Wybicki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wybicki
Context triple: [Józef Wybicki, familyName, Wybicki]
  • A. Wilkasy
    Wilkasy is a village and popular lakeside tourist resort in northeastern Poland’s Warmian-Masurian Voivodeship, known for its marinas and access to the Masurian Lake District.
  • B. Wolin
    Wolin is a large Baltic Sea island in northwestern Poland known for its national park, seaside resorts, and archaeological sites linked to early Slavic and Viking-era settlements.
  • C. Kiszczak
    Kiszczak is a Polish surname most notably associated with Czesław Kiszczak, a communist-era general and interior minister of Poland.
  • D. Olecko
    Olecko is a small town in northeastern Poland known for its lakeside setting and location within the historic region of Masuria.
  • E. Wierzyca
    Wierzyca is a river in northern Poland that flows through the Pomeranian region before joining the Wda and ultimately contributing to the Vistula river basin.
  • 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: Wybicki
Triple: [Józef Wybicki, familyName, Wybicki]
Generated description
Wybicki is a Polish surname most notably borne by Józef Wybicki, the author of the Polish national anthem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wybicki
Target entity description: Wybicki is a Polish surname most notably borne by Józef Wybicki, the author of the Polish national anthem.
  • A. Wilkasy
    Wilkasy is a village and popular lakeside tourist resort in northeastern Poland’s Warmian-Masurian Voivodeship, known for its marinas and access to the Masurian Lake District.
  • B. Wolin
    Wolin is a large Baltic Sea island in northwestern Poland known for its national park, seaside resorts, and archaeological sites linked to early Slavic and Viking-era settlements.
  • C. Kiszczak
    Kiszczak is a Polish surname most notably associated with Czesław Kiszczak, a communist-era general and interior minister of Poland.
  • D. Olecko
    Olecko is a small town in northeastern Poland known for its lakeside setting and location within the historic region of Masuria.
  • E. Wierzyca
    Wierzyca is a river in northern Poland that flows through the Pomeranian region before joining the Wda and ultimately contributing to the Vistula river basin.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb163d92fc8190a4efcb08d6b3d404 completed March 31, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5ae9758c819091e270343ed289aa completed March 31, 2026, 5:26 a.m.
NEDg Description generation batch_69cb762dd8348190bf74be4e7f5df1e7 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb24068908190977b266366e5ceea completed March 31, 2026, 11:38 a.m.
Created at: March 30, 2026, 4:48 p.m.