Triple

T9189799
Position Surface form Disambiguated ID Type / Status
Subject Pieniężno E220552 entity
Predicate hasGermanName P1435 FINISHED
Object Mehlsack
Mehlsack is the historical German name for the town of Pieniężno in northern Poland.
 E783869 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: Mehlsack | Statement: [Pieniężno, hasGermanName, Mehlsack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mehlsack
Context triple: [Pieniężno, hasGermanName, Mehlsack]
  • A. Aumühle
    Aumühle is a small municipality in northern Germany, known in part as the place where former German Grand Admiral and President Karl Dönitz died.
  • B. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • C. Grieben
    Grieben is a small village located on the Baltic Sea island of Hiddensee in Germany, known for its tranquil, car-free environment and traditional thatched-roof houses.
  • D. Saaleck
    Saaleck is a small locality in Germany, historically notable as the birthplace of the pioneering Protestant theologian Johann Salomo Semler.
  • E. Seckbach
    Seckbach is a district in the east of Frankfurt am Main, Germany, known for its residential character and proximity to green spaces like the Lohrberg.
  • 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: Mehlsack
Triple: [Pieniężno, hasGermanName, Mehlsack]
Generated description
Mehlsack is the historical German name for the town of Pieniężno in northern Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mehlsack
Target entity description: Mehlsack is the historical German name for the town of Pieniężno in northern Poland.
  • A. Aumühle
    Aumühle is a small municipality in northern Germany, known in part as the place where former German Grand Admiral and President Karl Dönitz died.
  • B. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • C. Grieben
    Grieben is a small village located on the Baltic Sea island of Hiddensee in Germany, known for its tranquil, car-free environment and traditional thatched-roof houses.
  • D. Saaleck
    Saaleck is a small locality in Germany, historically notable as the birthplace of the pioneering Protestant theologian Johann Salomo Semler.
  • E. Seckbach
    Seckbach is a district in the east of Frankfurt am Main, Germany, known for its residential character and proximity to green spaces like the Lohrberg.
  • 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5bd8c5c81909d0cdbcd7410fcee completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c272f508190aade1769c88cf16d completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05cda59f88190bcde5a91aec2f9dd completed April 4, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69d05ddd28008190b82c42220871e73f completed April 4, 2026, 12:39 a.m.
Created at: March 30, 2026, 7:24 p.m.