Triple

T2963056
Position Surface form Disambiguated ID Type / Status
Subject Erlangen E80092 entity
Predicate hasDistrict P459 FINISHED
Object Büchenbach
Büchenbach is a district of the Bavarian city of Erlangen, known primarily as a residential area with local amenities and green spaces.
 E314566 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: Büchenbach | Statement: [Erlangen, hasDistrict, Büchenbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Büchenbach
Context triple: [Erlangen, hasDistrict, Büchenbach]
  • A. Lüßbach
    Lüßbach is a small river in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg.
  • B. Hilchenbach
    Hilchenbach is a small town in the Siegerland region of North Rhine-Westphalia, Germany, known for its wooded hills and proximity to the Rothaar Mountains.
  • C. Röthenbach
    Röthenbach is a station in Nuremberg, Germany that serves as a terminus on the city’s U-Bahn rapid transit network.
  • D. Egelsbach
    Egelsbach is a municipality in the German state of Hesse, located between Frankfurt am Main and Darmstadt and known for its general aviation airfield.
  • 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: Büchenbach
Triple: [Erlangen, hasDistrict, Büchenbach]
Generated description
Büchenbach is a district of the Bavarian city of Erlangen, known primarily as a residential area with local amenities and green spaces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Büchenbach
Target entity description: Büchenbach is a district of the Bavarian city of Erlangen, known primarily as a residential area with local amenities and green spaces.
  • A. Lüßbach
    Lüßbach is a small river in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg.
  • B. Hilchenbach
    Hilchenbach is a small town in the Siegerland region of North Rhine-Westphalia, Germany, known for its wooded hills and proximity to the Rothaar Mountains.
  • C. Röthenbach
    Röthenbach is a station in Nuremberg, Germany that serves as a terminus on the city’s U-Bahn rapid transit network.
  • D. Egelsbach
    Egelsbach is a municipality in the German state of Hesse, located between Frankfurt am Main and Darmstadt and known for its general aviation airfield.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9957602c819089b673966fd619e0 completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc98d94481908282d21394dc24a7 completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b0fd07b82881908d52ab2db2f2e54c completed March 11, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69b0fdba0fd88190a2e760f1770e846c completed March 11, 2026, 5:29 a.m.
Created at: March 8, 2026, 2:57 p.m.