Triple

T1087809
Position Surface form Disambiguated ID Type / Status
Subject Zakopane E24091 entity
Predicate hasMainStreet P461 FINISHED
Object Krupówki
Krupówki is the bustling main pedestrian street and commercial heart of Zakopane, Poland, known for its shops, restaurants, and traditional highland atmosphere.
 E123502 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: Krupówki | Statement: [Zakopane, hasMainStreet, Krupówki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Krupówki
Context triple: [Zakopane, hasMainStreet, Krupówki]
  • A. Szaflary
    Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
  • B. Redłowo
    Redłowo is a coastal district of the Polish city of Gdynia, known for its residential character and proximity to the Baltic Sea.
  • C. Żegota
    Żegota was a clandestine Polish World War II organization dedicated to rescuing and aiding Jews under Nazi occupation.
  • D. Kukarka
    Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
  • E. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • 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: Krupówki
Triple: [Zakopane, hasMainStreet, Krupówki]
Generated description
Krupówki is the bustling main pedestrian street and commercial heart of Zakopane, Poland, known for its shops, restaurants, and traditional highland atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Krupówki
Target entity description: Krupówki is the bustling main pedestrian street and commercial heart of Zakopane, Poland, known for its shops, restaurants, and traditional highland atmosphere.
  • A. Szaflary
    Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
  • B. Redłowo
    Redłowo is a coastal district of the Polish city of Gdynia, known for its residential character and proximity to the Baltic Sea.
  • C. Żegota
    Żegota was a clandestine Polish World War II organization dedicated to rescuing and aiding Jews under Nazi occupation.
  • D. Kukarka
    Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
  • E. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b97c64a88190bf1119fdd4940bf3 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42b41618819087884c292db4ed55 completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac4336328481908aba0260c6504a1a completed March 7, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac43b578d48190af1478c9f6c8f712 completed March 7, 2026, 3:26 p.m.
Created at: March 1, 2026, 7:42 p.m.