Triple

T2760498
Position Surface form Disambiguated ID Type / Status
Subject Chełmno nad Nerem E61206 entity
Predicate near P350 FINISHED
Object Dąbie
Dąbie is a small town in central Poland, located in the Łódź Voivodeship along the Ner River.
 E294510 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: Dąbie | Statement: [Chełmno nad Nerem, near, Dąbie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dąbie
Context triple: [Chełmno nad Nerem, near, Dąbie]
  • A. Mława
    Mława is a town in north-central Poland known for its historical significance, including a major World War II battle, and its regional cultural and economic role.
  • B. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • C. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • D. Słupia
    Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Trzebinia
    Trzebinia is a town in southern Poland known for its industrial character and location between Kraków and Katowice.
  • 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: Dąbie
Triple: [Chełmno nad Nerem, near, Dąbie]
Generated description
Dąbie is a small town in central Poland, located in the Łódź Voivodeship along the Ner River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dąbie
Target entity description: Dąbie is a small town in central Poland, located in the Łódź Voivodeship along the Ner River.
  • A. Mława
    Mława is a town in north-central Poland known for its historical significance, including a major World War II battle, and its regional cultural and economic role.
  • B. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • C. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • D. Słupia
    Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Trzebinia
    Trzebinia is a town in southern Poland known for its industrial character and location between Kraków and Katowice.
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd2281b8819094c22ce5e4753bd3 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbe499148190902826dd769597d1 completed March 10, 2026, 6:36 a.m.
NEDg Description generation batch_69afbc68a4148190b8c41af64bfacd64 completed March 10, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69afbd03744081908c79e88c3189467c completed March 10, 2026, 6:41 a.m.
Created at: March 6, 2026, 9:57 p.m.