Triple

T19457322
Position Surface form Disambiguated ID Type / Status
Subject Kashubian Lake District E486766 entity
Predicate contains P35 FINISHED
Object Stężyca
Stężyca is a village in northern Poland known as a popular tourist and recreation spot within the scenic Kashubian Lake District.
E1588159 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: Stężyca | Statement: [Kashubian Lake District, contains, Stężyca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stężyca
Context triple: [Kashubian Lake District, contains, Stężyca]
  • A. 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.
  • B. Trzebnica
    Trzebnica is a historic town in southwestern Poland known for its medieval Cistercian abbey and religious significance.
  • C. Koprzywnica
    Koprzywnica is a small town in southeastern Poland known for its historic Cistercian monastery and location within the Świętokrzyskie Voivodeship.
  • D. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • 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: Stężyca
Triple: [Kashubian Lake District, contains, Stężyca]
Generated description
Stężyca is a village in northern Poland known as a popular tourist and recreation spot within the scenic Kashubian Lake District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stężyca
Target entity description: Stężyca is a village in northern Poland known as a popular tourist and recreation spot within the scenic Kashubian Lake District.
  • A. 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.
  • B. Trzebnica
    Trzebnica is a historic town in southwestern Poland known for its medieval Cistercian abbey and religious significance.
  • C. Koprzywnica
    Koprzywnica is a small town in southeastern Poland known for its historic Cistercian monastery and location within the Świętokrzyskie Voivodeship.
  • D. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c569a081908b5a71226345a929 completed April 20, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0c8225ce388190acc6599a1ebcb248 completed May 19, 2026, 3:30 p.m.
NEDg Description generation batch_6a0ca6eda1f481908482f3a66d576c3c completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca7c5176c81908221307bb50ff4ed completed May 19, 2026, 6:11 p.m.
Created at: April 10, 2026, 1:38 p.m.