Triple

T6353613
Position Surface form Disambiguated ID Type / Status
Subject West Pomeranian Voivodeship E142935 entity
Predicate containsCity P294 FINISHED
Object Myślibórz
Myślibórz is a small historic town in northwestern Poland known for its medieval architecture and picturesque lakes.
E690688 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: Myślibórz | Statement: [West Pomeranian Voivodeship, containsCity, Myślibórz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myślibórz
Context triple: [West Pomeranian Voivodeship, containsCity, Myślibórz]
  • A. Elbląg
    Elbląg is a historic city in northern Poland known for its reconstructed Old Town, medieval heritage, and role as an important port and industrial center.
  • B. Kołobrzeg
    Kołobrzeg is a historic Polish port and spa city on the Baltic Sea, known for its beaches, seaside resorts, and role as a popular tourist destination.
  • C. Brzeg
    Brzeg is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
  • D. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Kwidzyn
    Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
  • 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: Myślibórz
Triple: [West Pomeranian Voivodeship, containsCity, Myślibórz]
Generated description
Myślibórz is a small historic town in northwestern Poland known for its medieval architecture and picturesque lakes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Myślibórz
Target entity description: Myślibórz is a small historic town in northwestern Poland known for its medieval architecture and picturesque lakes.
  • A. Elbląg
    Elbląg is a historic city in northern Poland known for its reconstructed Old Town, medieval heritage, and role as an important port and industrial center.
  • B. Kołobrzeg
    Kołobrzeg is a historic Polish port and spa city on the Baltic Sea, known for its beaches, seaside resorts, and role as a popular tourist destination.
  • C. Brzeg
    Brzeg is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
  • D. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Kwidzyn
    Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
  • 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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067dec4a88190992d57a0cc7782ad completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c941f469c881908e83cfd6c8191af1 completed March 29, 2026, 3:15 p.m.
NEDg Description generation batch_69c945f81a708190a5c83f0f6a8f6a71 completed March 29, 2026, 3:32 p.m.
NED2 Entity disambiguation (via description) batch_69c9466cb89c8190ae4a045290d1964a completed March 29, 2026, 3:34 p.m.
Created at: March 22, 2026, 4:31 p.m.