Triple

T7780848
Position Surface form Disambiguated ID Type / Status
Subject Poznań Land E221510 entity
Predicate hasMajorCity P316 FINISHED
Object Kościan
Kościan is a historic town in west-central Poland, located in the Greater Poland region south of Poznań.
 E940097 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: Kościan | Statement: [Poznań Land, hasMajorCity, Kościan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kościan
Context triple: [Poznań Land, hasMajorCity, Kościan]
  • 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. Kociewie
    Kociewie is an ethnocultural region in northern Poland known for its distinct folk traditions, dialect, and rural landscapes.
  • C. 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.
  • D. Pałuki
    Pałuki is a historical and ethnographic region in north-central Poland, known for its distinctive folk culture, wooden architecture, and numerous lakes.
  • E. Biecz
    Biecz is a historic town in southern Poland known for its well-preserved medieval urban layout and architecture.
  • 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: Kościan
Triple: [Poznań Land, hasMajorCity, Kościan]
Generated description
Kościan is a historic town in west-central Poland, located in the Greater Poland region south of Poznań.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kościan
Target entity description: Kościan is a historic town in west-central Poland, located in the Greater Poland region south of Poznań.
  • 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. Kociewie
    Kociewie is an ethnocultural region in northern Poland known for its distinct folk traditions, dialect, and rural landscapes.
  • C. 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.
  • D. Pałuki
    Pałuki is a historical and ethnographic region in north-central Poland, known for its distinctive folk culture, wooden architecture, and numerous lakes.
  • E. Biecz
    Biecz is a historic town in southern Poland known for its well-preserved medieval urban layout and architecture.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69caa4d6cf9881909f5220437db13cc7 completed March 30, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ef1243b14081909d07ab0ebb32cc68 completed April 27, 2026, 7:37 a.m.
NEDg Description generation batch_69ef354b3b3c8190b1c91dbf9c705a7d completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef5170ce9881908f2ecf3d5ada809a completed April 27, 2026, 12:07 p.m.
Created at: March 30, 2026, 4:20 p.m.