Triple

T750147
Position Surface form Disambiguated ID Type / Status
Subject Friedrich Wilhelm Kritzinger E15428 entity
Predicate placeOfBirth P1 FINISHED
Object Grünfier
Grünfier is a small locality in the historical region of Pomerania, formerly part of Germany and now within modern-day Poland.
 E92198 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: Grünfier | Statement: [Friedrich Wilhelm Kritzinger, placeOfBirth, Grünfier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grünfier
Context triple: [Friedrich Wilhelm Kritzinger, placeOfBirth, Grünfier]
  • A. Rednitz
    The Rednitz is a river in Bavaria, Germany, that flows through cities such as Fürth and joins with the Pegnitz to form the Regnitz.
  • B. Steffl
    Steffl is the popular nickname for the iconic south tower of St. Stephen's Cathedral in Vienna, a prominent symbol of the city's skyline.
  • C. Foege
    Foege is the surname of William H. Foege, an American epidemiologist renowned for his pivotal role in the global eradication of smallpox.
  • D. Kleeblatt
    Kleeblatt is the traditional nickname of the German football club SpVgg Greuther Fürth, referencing the cloverleaf symbol in the club’s crest.
  • E. Ficker
    Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
  • 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: Grünfier
Triple: [Friedrich Wilhelm Kritzinger, placeOfBirth, Grünfier]
Generated description
Grünfier is a small locality in the historical region of Pomerania, formerly part of Germany and now within modern-day Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grünfier
Target entity description: Grünfier is a small locality in the historical region of Pomerania, formerly part of Germany and now within modern-day Poland.
  • A. Rednitz
    The Rednitz is a river in Bavaria, Germany, that flows through cities such as Fürth and joins with the Pegnitz to form the Regnitz.
  • B. Steffl
    Steffl is the popular nickname for the iconic south tower of St. Stephen's Cathedral in Vienna, a prominent symbol of the city's skyline.
  • C. Foege
    Foege is the surname of William H. Foege, an American epidemiologist renowned for his pivotal role in the global eradication of smallpox.
  • D. Kleeblatt
    Kleeblatt is the traditional nickname of the German football club SpVgg Greuther Fürth, referencing the cloverleaf symbol in the club’s crest.
  • E. Ficker
    Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a6304e0c8190827fb57c5cac2da9 completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66d9764b081908f65c677582d9c86 completed March 3, 2026, 5:11 a.m.
NEDg Description generation batch_69a66e046bbc8190848a0d0115dc34bd completed March 3, 2026, 5:13 a.m.
NED2 Entity disambiguation (via description) batch_69a66fdd09b081909056bff1a32d413c completed March 3, 2026, 5:21 a.m.
Created at: March 1, 2026, 7:37 p.m.