Triple

T16683175
Position Surface form Disambiguated ID Type / Status
Subject Radosław Majdan E405389 entity
Predicate familyName P18 FINISHED
Object Majdan
Majdan is a Polish surname most notably borne by former professional footballer and sports personality Radosław Majdan.
 E1228273 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: Majdan | Statement: [Radosław Majdan, familyName, Majdan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Majdan
Context triple: [Radosław Majdan, familyName, Majdan]
  • A. Majdan Tatarski
    Majdan Tatarski is a district of the city of Lublin in eastern Poland, known primarily as a residential neighborhood.
  • B. Kamenka
    Kamenka is a rural settlement located along the Mezen River in northern European Russia.
  • C. Kremenets
    Kremenets is a historic town in western Ukraine known for its rich cultural heritage and once-significant Jewish community.
  • D. Sahaidachny
    Sahaidachny is the honorific title of Petro Konashevych-Sahaidachny, a prominent early 17th-century Ukrainian Cossack military and political leader.
  • E. Rohatyn
    Rohatyn is a historic town in western Ukraine known for its medieval roots and association with the Polish-Ukrainian noblewoman Roxelana (Hürrem Sultan).
  • 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: Majdan
Triple: [Radosław Majdan, familyName, Majdan]
Generated description
Majdan is a Polish surname most notably borne by former professional footballer and sports personality Radosław Majdan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Majdan
Target entity description: Majdan is a Polish surname most notably borne by former professional footballer and sports personality Radosław Majdan.
  • A. Majdan Tatarski
    Majdan Tatarski is a district of the city of Lublin in eastern Poland, known primarily as a residential neighborhood.
  • B. Kamenka
    Kamenka is a rural settlement located along the Mezen River in northern European Russia.
  • C. Kremenets
    Kremenets is a historic town in western Ukraine known for its rich cultural heritage and once-significant Jewish community.
  • D. Sahaidachny
    Sahaidachny is the honorific title of Petro Konashevych-Sahaidachny, a prominent early 17th-century Ukrainian Cossack military and political leader.
  • E. Rohatyn
    Rohatyn is a historic town in western Ukraine known for its medieval roots and association with the Polish-Ukrainian noblewoman Roxelana (Hürrem Sultan).
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d70d3f8819087d1bd700c94a83f completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a422f8c8190873fd7089df8fbd4 completed May 10, 2026, 1:38 p.m.
NEDg Description generation batch_6a008b41a1648190bd1c2268c8a80ee2 completed May 10, 2026, 1:42 p.m.
NED2 Entity disambiguation (via description) batch_6a008c2bcac48190801ba34fde104a8a completed May 10, 2026, 1:46 p.m.
Created at: April 10, 2026, 5:19 a.m.