Triple

T21182791
Position Surface form Disambiguated ID Type / Status
Subject Gmina Piekoszów E521994 entity
Predicate hasSettlement P1068 FINISHED
Object Łaziska
Łaziska is a village located within the administrative district of Gmina Piekoszów in south-central Poland.
E1469998 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: Łaziska | Statement: [Gmina Piekoszów, hasSettlement, Łaziska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Łaziska
Context triple: [Gmina Piekoszów, hasSettlement, Łaziska]
  • A. Łaziska Górne
    Łaziska Górne is a town in southern Poland’s Silesian Voivodeship, known for its heavy industry and role within the Upper Silesian urban area.
  • B. 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.
  • C. Załęski
    Załęski is a Polish surname, a diacritic variant of Zaleski, borne by individuals and families of Polish origin.
  • D. Lądek-Zdrój
    Lądek-Zdrój is one of Poland’s oldest and most renowned spa towns, famed for its historic architecture and therapeutic mineral springs in the Lower Silesian region.
  • E. 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.
  • 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: Łaziska
Triple: [Gmina Piekoszów, hasSettlement, Łaziska]
Generated description
Łaziska is a village located within the administrative district of Gmina Piekoszów in south-central Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Łaziska
Target entity description: Łaziska is a village located within the administrative district of Gmina Piekoszów in south-central Poland.
  • A. Łaziska Górne
    Łaziska Górne is a town in southern Poland’s Silesian Voivodeship, known for its heavy industry and role within the Upper Silesian urban area.
  • B. 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.
  • C. Załęski
    Załęski is a Polish surname, a diacritic variant of Zaleski, borne by individuals and families of Polish origin.
  • D. Lądek-Zdrój
    Lądek-Zdrój is one of Poland’s oldest and most renowned spa towns, famed for its historic architecture and therapeutic mineral springs in the Lower Silesian region.
  • E. 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.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301eb3248190b9f6fc1586651fec completed April 21, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09757d659881909e41f593417247e5 completed May 17, 2026, 7:59 a.m.
NEDg Description generation batch_6a09769c4d1c8190bf8f53fafc840fa9 completed May 17, 2026, 8:04 a.m.
NED2 Entity disambiguation (via description) batch_6a097709a4c88190a38d787260599348 completed May 17, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:04 p.m.