Triple

T24157428
Position Surface form Disambiguated ID Type / Status
Subject Łukasz Nowak E598722 entity
Predicate surnameFrequencyContext P29278 FINISHED
Object Nowak is one of the most common surnames in Poland
Nowak is a very common Polish surname, widely borne across Poland and often compared to "Smith" in English-speaking countries.
E550930 NE FINISHED

How this triple was built (3 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: Nowak is one of the most common surnames in Poland | Statement: [Łukasz Nowak, surnameFrequencyContext, Nowak is one of the most common surnames in Poland]
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: Nowak is one of the most common surnames in Poland
Triple: [Łukasz Nowak, surnameFrequencyContext, Nowak is one of the most common surnames in Poland]
Generated description
Nowak is a very common Polish surname, widely borne across Poland and often compared to "Smith" in English-speaking countries.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: surnameFrequencyContext
Context triple: [Łukasz Nowak, surnameFrequencyContext, Nowak is one of the most common surnames in Poland]
  • A. hasGivenNameFrequency
    Indicates the frequency or commonness with which a particular given name occurs within a specified population or context.
  • B. hasSurnameFrequency
    Indicates that a surname occurs with a specified frequency or rate within a given population or dataset.
  • C. namePopularityRegion
    Indicates the geographic region or area in which a particular name has a certain level of popularity or usage.
  • D. isAmongMostCommonSurnamesIn chosen
    Indicates that a surname ranks within the group of most frequently occurring surnames in a specified region or population.
  • E. hasNameGenderUsage
    Indicates that a particular name is used with a specific gender or set of genders in a given context.
  • F. None of above.

Provenance (6 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_69e288cb0a3081909ef221744f274384 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e0e5bdb48190aa2d369942b85220 completed April 29, 2026, 10:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbd0839c88190a3fc9fa2c0c96108 completed May 22, 2026, 2:18 a.m.
NEDg Description generation batch_6a0fbec907148190832159960dc4bdd6 completed May 22, 2026, 2:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0fbf3cf7988190a9d766bfca4ef994 completed May 22, 2026, 2:28 a.m.
PD Predicate disambiguation batch_69f176585f3481909beb907de252cd98 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 11:31 p.m.