Triple

T7466467
Position Surface form Disambiguated ID Type / Status
Subject Krajna E176384 entity
Predicate hasTown P847 FINISHED
Object Więcbork
Więcbork is a small historic town in north-central Poland, situated in the ethnocultural region of Krajna and known for its lakeside setting and traditional architecture.
 E907320 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: Więcbork | Statement: [Krajna, hasTown, Więcbork]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Więcbork
Context triple: [Krajna, hasTown, Więcbork]
  • A. Racibórz
    Racibórz is a historic town in southern Poland, located in the Silesian region near the Czech border, known for its medieval heritage and industrial traditions.
  • B. Kociewie
    Kociewie is an ethnocultural region in northern Poland known for its distinct folk traditions, dialect, and rural landscapes.
  • C. Tczew
    Tczew is a historic town in northern Poland on the Vistula River, known for its important railway bridges and role as a regional transport hub.
  • D. Zbrzyca
    Zbrzyca is a river in northern Poland that flows through the Pomeranian region before joining the Brda River.
  • E. Kętrzyn
    Kętrzyn is a historic town in northeastern Poland known for its medieval architecture and proximity to the Masurian Lake District.
  • 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: Więcbork
Triple: [Krajna, hasTown, Więcbork]
Generated description
Więcbork is a small historic town in north-central Poland, situated in the ethnocultural region of Krajna and known for its lakeside setting and traditional architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Więcbork
Target entity description: Więcbork is a small historic town in north-central Poland, situated in the ethnocultural region of Krajna and known for its lakeside setting and traditional architecture.
  • A. Racibórz
    Racibórz is a historic town in southern Poland, located in the Silesian region near the Czech border, known for its medieval heritage and industrial traditions.
  • B. Kociewie
    Kociewie is an ethnocultural region in northern Poland known for its distinct folk traditions, dialect, and rural landscapes.
  • C. Tczew
    Tczew is a historic town in northern Poland on the Vistula River, known for its important railway bridges and role as a regional transport hub.
  • D. Zbrzyca
    Zbrzyca is a river in northern Poland that flows through the Pomeranian region before joining the Brda River.
  • E. Kętrzyn
    Kętrzyn is a historic town in northeastern Poland known for its medieval architecture and proximity to the Masurian Lake District.
  • 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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3f412908190ac910ecae682d6f6 completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4415b7f848190a9fc8b08824f0b9b completed April 19, 2026, 2:43 a.m.
NEDg Description generation batch_69e448f697a88190ae711c72ae0c0c3b completed April 19, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_69e4510dc55081908f89aab15726b2a8 completed April 19, 2026, 3:50 a.m.
Created at: March 27, 2026, 3:40 p.m.