Triple

T1615000
Position Surface form Disambiguated ID Type / Status
Subject Walther Nernst E34696 entity
Predicate placeOfDeath P21 FINISHED
Object Zibelle
Zibelle is a village in eastern Germany, historically part of Lusatia, known in this context as the place where physicist Walther Nernst died.
 E183514 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: Zibelle | Statement: [Walther Nernst, placeOfDeath, Zibelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zibelle
Context triple: [Walther Nernst, placeOfDeath, Zibelle]
  • A. Sylvie
    Sylvie is a feminine given name, often used as a French variant of Sylvia, associated with meanings related to the forest or woods.
  • B. Fifi
    Fifi was one of Jane Goodall’s most closely observed wild chimpanzees at Gombe, known for her long-term presence in the study and her role in revealing chimpanzee social and family dynamics.
  • C. Quatchi
    Quatchi is a sasquatch character who served as one of the official mascots of the 2010 Winter Olympics in Vancouver.
  • D. Nala
    Nala is a courageous lioness from Disney's "The Lion King," known as Simba's childhood friend and later queen of the Pride Lands.
  • E. Misti
    Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
  • 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: Zibelle
Triple: [Walther Nernst, placeOfDeath, Zibelle]
Generated description
Zibelle is a village in eastern Germany, historically part of Lusatia, known in this context as the place where physicist Walther Nernst died.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zibelle
Target entity description: Zibelle is a village in eastern Germany, historically part of Lusatia, known in this context as the place where physicist Walther Nernst died.
  • A. Sylvie
    Sylvie is a feminine given name, often used as a French variant of Sylvia, associated with meanings related to the forest or woods.
  • B. Fifi
    Fifi was one of Jane Goodall’s most closely observed wild chimpanzees at Gombe, known for her long-term presence in the study and her role in revealing chimpanzee social and family dynamics.
  • C. Quatchi
    Quatchi is a sasquatch character who served as one of the official mascots of the 2010 Winter Olympics in Vancouver.
  • D. Nala
    Nala is a courageous lioness from Disney's "The Lion King," known as Simba's childhood friend and later queen of the Pride Lands.
  • E. Misti
    Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9098f384c81909ef836ee779466e2 completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51ca2bc48190abb83f4d84782334 completed March 8, 2026, 10:39 a.m.
NEDg Description generation batch_69ad55d41c048190a2d85dc19bc56242 completed March 8, 2026, 10:56 a.m.
NED2 Entity disambiguation (via description) batch_69ad564aed808190a58dbf3a84780255 completed March 8, 2026, 10:58 a.m.
Created at: March 4, 2026, 7:28 p.m.