Triple

T1480993
Position Surface form Disambiguated ID Type / Status
Subject Stanislav Kosior E30954 entity
Predicate placeOfBirth P1 FINISHED
Object Węgrów
Węgrów is a historic town in eastern Poland known for its centuries-old religious and cultural heritage.
 E214094 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: Węgrów | Statement: [Stanislav Kosior, placeOfBirth, Węgrów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Węgrów
Context triple: [Stanislav Kosior, placeOfBirth, Węgrów]
  • A. Radziejowa
    Radziejowa is a prominent mountain peak in southern Poland, known for its forested slopes, scenic views, and status as the highest summit of the Beskid Sądecki range.
  • B. Orłowo
    Orłowo is a coastal district of Gdynia in northern Poland, known for its scenic cliffs, pier, and Baltic Sea beaches.
  • C. Wadowice
    Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
  • D. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • E. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • 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: Węgrów
Triple: [Stanislav Kosior, placeOfBirth, Węgrów]
Generated description
Węgrów is a historic town in eastern Poland known for its centuries-old religious and cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Węgrów
Target entity description: Węgrów is a historic town in eastern Poland known for its centuries-old religious and cultural heritage.
  • A. Radziejowa
    Radziejowa is a prominent mountain peak in southern Poland, known for its forested slopes, scenic views, and status as the highest summit of the Beskid Sądecki range.
  • B. Orłowo
    Orłowo is a coastal district of Gdynia in northern Poland, known for its scenic cliffs, pier, and Baltic Sea beaches.
  • C. Staszów
    Staszów is a historic town in south-central Poland known for its medieval origins and location within the Świętokrzyskie region.
  • D. Włoszczowa
    Włoszczowa is a town in south-central Poland known as the seat of Włoszczowa County and a local administrative and service center.
  • E. Wadowice
    Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c67699848190852e376efe22737c completed March 1, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69adeabea0d88190b0bd83aece8c7b55 completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeea29fd4819099e1ac22b9ce123f completed March 8, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69adef4913608190824764bd79821a7e completed March 8, 2026, 9:51 p.m.
Created at: March 1, 2026, 8:11 p.m.