Triple

T4510313
Position Surface form Disambiguated ID Type / Status
Subject Zwickau E102035 entity
Predicate hasSubdivision P747 FINISHED
Object Eckersbach
Eckersbach is a district of the city of Zwickau in the German state of Saxony, known primarily as a residential area.
E451444 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: Eckersbach | Statement: [Zwickau, hasSubdivision, Eckersbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eckersbach
Context triple: [Zwickau, hasSubdivision, Eckersbach]
  • A. Schwabach
    Schwabach is a historic town in northern Bavaria, Germany, known for its traditional gold-beating craft and well-preserved old town.
  • B. Eschwege
    Eschwege is a small historic town in the German state of Hesse, known for its medieval architecture and location near the Werra River.
  • C. Breitenbach
    Breitenbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its location in the Thierstein district near the French border.
  • D. Oberweser
    Oberweser is the name given to the upper course of the Weser River in central Germany, encompassing its initial stretch after the confluence of its headstreams.
  • E. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • 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: Eckersbach
Triple: [Zwickau, hasSubdivision, Eckersbach]
Generated description
Eckersbach is a district of the city of Zwickau in the German state of Saxony, known primarily as a residential area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eckersbach
Target entity description: Eckersbach is a district of the city of Zwickau in the German state of Saxony, known primarily as a residential area.
  • A. Schwabach
    Schwabach is a historic town in northern Bavaria, Germany, known for its traditional gold-beating craft and well-preserved old town.
  • B. Eschwege
    Eschwege is a small historic town in the German state of Hesse, known for its medieval architecture and location near the Werra River.
  • C. Breitenbach
    Breitenbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its location in the Thierstein district near the French border.
  • D. Oberweser
    Oberweser is the name given to the upper course of the Weser River in central Germany, encompassing its initial stretch after the confluence of its headstreams.
  • E. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5712b9308190876c117b50d12635 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb90b785c81909e76469819f3a487 completed March 20, 2026, 9:15 p.m.
NEDg Description generation batch_69bdbdb3b5908190885e30d442a4cdd3 completed March 20, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69bdbe1bcd8c819094adea59c91c6f5b completed March 20, 2026, 9:37 p.m.
Created at: March 20, 2026, 1:01 p.m.