Triple

T7167019
Position Surface form Disambiguated ID Type / Status
Subject Zimmerstraße E167095 entity
Predicate namedAfter P63 FINISHED
Object Zimmer (surname)
Zimmer is a German-language surname, common in German-speaking countries and among people of German descent worldwide.
 E646267 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: Zimmer (surname) | Statement: [Zimmerstraße, namedAfter, Zimmer (surname)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zimmer (surname)
Context triple: [Zimmerstraße, namedAfter, Zimmer (surname)]
  • A. Zimerman
    Zimerman is the surname of Krystian Zimerman, a renowned Polish classical pianist and conductor.
  • B. Wenzel
    Wenzel is a masculine given name of Germanic origin, historically borne by several Central European nobles and statesmen.
  • C. Heimrich
    Heimrich is a Germanic given name of medieval origin, related to names like Heinrich and Henrik and historically borne by various nobles and notable figures in German-speaking regions.
  • D. Zierer
    Zierer is a German amusement ride manufacturer known for producing family-friendly roller coasters and classic flat rides for theme parks worldwide.
  • E. Trumbauer
    Trumbauer is a surname most notably associated with American architect Horace Trumbauer, known for his grand Gilded Age mansions and institutional buildings.
  • 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: Zimmer (surname)
Triple: [Zimmerstraße, namedAfter, Zimmer (surname)]
Generated description
Zimmer is a German-language surname, common in German-speaking countries and among people of German descent worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zimmer (surname)
Target entity description: Zimmer is a German-language surname, common in German-speaking countries and among people of German descent worldwide.
  • A. Zimerman
    Zimerman is the surname of Krystian Zimerman, a renowned Polish classical pianist and conductor.
  • B. Wenzel
    Wenzel is a masculine given name of Germanic origin, historically borne by several Central European nobles and statesmen.
  • C. Heimrich
    Heimrich is a Germanic given name of medieval origin, related to names like Heinrich and Henrik and historically borne by various nobles and notable figures in German-speaking regions.
  • D. Zierer
    Zierer is a German amusement ride manufacturer known for producing family-friendly roller coasters and classic flat rides for theme parks worldwide.
  • E. Trumbauer
    Trumbauer is a surname most notably associated with American architect Horace Trumbauer, known for his grand Gilded Age mansions and institutional buildings.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e85a07388190a07054ef12870fa1 completed March 27, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adced6b48190bcae9af88f640584 completed March 28, 2026, 10:30 a.m.
NEDg Description generation batch_69c7ae44e0d48190818b193e03aba6a4 completed March 28, 2026, 10:32 a.m.
NED2 Entity disambiguation (via description) batch_69c7aeb9373c8190ac2d282e8153201f completed March 28, 2026, 10:34 a.m.
Created at: March 27, 2026, 2:48 p.m.