Triple

T13468592
Position Surface form Disambiguated ID Type / Status
Subject Radom Voivodeship E311569 entity
Predicate containsCity P294 FINISHED
Object Kozienice
Kozienice is a town in east-central Poland known for its large coal-fired power plant and proximity to the Kozienice Landscape Park.
E1442831 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: Kozienice | Statement: [Radom Voivodeship, containsCity, Kozienice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kozienice
Context triple: [Radom Voivodeship, containsCity, Kozienice]
  • A. Krotoszyn
    Krotoszyn is a historic town in west-central Poland known for its medieval origins and changing political affiliations, including periods under Prussian and German rule.
  • B. Wadowice
    Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
  • C. Kraśnik
    Kraśnik is a town in eastern Poland known for its historical architecture and location within the Lublin region.
  • D. Haczów
    Haczów is a village in southeastern Poland known for its historic wooden architecture and cultural heritage, including one of the oldest and largest Gothic wooden churches in Europe.
  • E. Otwock
    Otwock is a town in east-central Poland known as a suburban spa and residential area within the broader Warsaw region.
  • 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: Kozienice
Triple: [Radom Voivodeship, containsCity, Kozienice]
Generated description
Kozienice is a town in east-central Poland known for its large coal-fired power plant and proximity to the Kozienice Landscape Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kozienice
Target entity description: Kozienice is a town in east-central Poland known for its large coal-fired power plant and proximity to the Kozienice Landscape Park.
  • A. Krotoszyn
    Krotoszyn is a historic town in west-central Poland known for its medieval origins and changing political affiliations, including periods under Prussian and German rule.
  • B. Wadowice
    Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
  • C. Kraśnik
    Kraśnik is a town in eastern Poland known for its historical architecture and location within the Lublin region.
  • D. Haczów
    Haczów is a village in southeastern Poland known for its historic wooden architecture and cultural heritage, including one of the oldest and largest Gothic wooden churches in Europe.
  • E. Otwock
    Otwock is a town in east-central Poland known as a suburban spa and residential area within the broader Warsaw region.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf21e46081908a00c9acf54f270f completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08c56e355481908d92db0b871d58dd completed May 16, 2026, 7:28 p.m.
NEDg Description generation batch_6a08c6877618819096a3621c19bfc9f2 completed May 16, 2026, 7:33 p.m.
NED2 Entity disambiguation (via description) batch_6a08c70c109c8190b4b38ea86f963f38 completed May 16, 2026, 7:35 p.m.
Created at: April 9, 2026, 9:42 p.m.