Triple

T11783872
Position Surface form Disambiguated ID Type / Status
Subject Płońsk County E280219 entity
Predicate containsSettlement P847 FINISHED
Object Załuski
Załuski is a village in east-central Poland that serves as the seat of the rural administrative district Gmina Załuski in Płońsk County, Masovian Voivodeship.
E957574 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: Załuski | Statement: [Płońsk County, containsSettlement, Załuski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Załuski
Context triple: [Płońsk County, containsSettlement, Załuski]
  • A. Załęski
    Załęski is a Polish surname, a diacritic variant of Zaleski, borne by individuals and families of Polish origin.
  • B. Zbyszko
    Zbyszko is a Polish given name, traditionally used as a diminutive or variant of Zbigniew and known from medieval and literary contexts.
  • C. Szczawnica
    Szczawnica is a Polish spa and tourist town in southern Lesser Poland, known for its mineral springs, health resorts, and scenic location in the Pieniny region near the Dunajec River.
  • D. Łęczna
    Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
  • E. Tarłów
    Tarłów is a village and administrative center in south-central Poland, located within the Świętokrzyskie 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: Załuski
Triple: [Płońsk County, containsSettlement, Załuski]
Generated description
Załuski is a village in east-central Poland that serves as the seat of the rural administrative district Gmina Załuski in Płońsk County, Masovian Voivodeship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Załuski
Target entity description: Załuski is a village in east-central Poland that serves as the seat of the rural administrative district Gmina Załuski in Płońsk County, Masovian Voivodeship.
  • A. Załęski
    Załęski is a Polish surname, a diacritic variant of Zaleski, borne by individuals and families of Polish origin.
  • B. Zbyszko
    Zbyszko is a Polish given name, traditionally used as a diminutive or variant of Zbigniew and known from medieval and literary contexts.
  • C. Szczawnica
    Szczawnica is a Polish spa and tourist town in southern Lesser Poland, known for its mineral springs, health resorts, and scenic location in the Pieniny region near the Dunajec River.
  • D. Łęczna
    Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
  • E. Tarłów
    Tarłów is a village and administrative center in south-central Poland, located within the Świętokrzyskie 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a585795c8190aa8a5edf0d99b47f completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4713ee6e48190ab1860b9899b7b48 completed May 1, 2026, 9:24 a.m.
NEDg Description generation batch_69f47b755f808190acb2fb31473d2405 completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47d8bbae8819088d48b300291ef74 completed May 1, 2026, 10:16 a.m.
Created at: April 8, 2026, 9:42 p.m.