Triple

T15172135
Position Surface form Disambiguated ID Type / Status
Subject Międzyrzecz E362510 entity
Predicate hasTwinTown P919 FINISHED
Object Herzberg (Elster)
Herzberg (Elster) is a small town in the state of Brandenburg in eastern Germany, known for its historic architecture and location along the Black Elster river.
 E1142591 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: Herzberg (Elster) | Statement: [Międzyrzecz, hasTwinTown, Herzberg (Elster)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Herzberg (Elster)
Context triple: [Międzyrzecz, hasTwinTown, Herzberg (Elster)]
  • A. Wülknitz
    Wülknitz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
  • B. Irschenberg
    Irschenberg is a Bavarian municipality in southern Germany known for its scenic location in the Alpine foothills and its prominent motorway ascent on the A8 between Munich and Salzburg.
  • C. Stechow-Ferchesar
    Stechow-Ferchesar is a small rural municipality in the Havelland district of Brandenburg, Germany.
  • D. Hohenelbe
    Hohenelbe is the German name for the Czech town of Vrchlabí, a gateway to the Krkonoše (Giant) Mountains region.
  • E. Weßling
    Weßling is a small municipality in Bavaria, Germany, known for its scenic lake and as a residential community near Munich.
  • 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: Herzberg (Elster)
Triple: [Międzyrzecz, hasTwinTown, Herzberg (Elster)]
Generated description
Herzberg (Elster) is a small town in the state of Brandenburg in eastern Germany, known for its historic architecture and location along the Black Elster river.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Herzberg (Elster)
Target entity description: Herzberg (Elster) is a small town in the state of Brandenburg in eastern Germany, known for its historic architecture and location along the Black Elster river.
  • A. Wülknitz
    Wülknitz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
  • B. Irschenberg
    Irschenberg is a Bavarian municipality in southern Germany known for its scenic location in the Alpine foothills and its prominent motorway ascent on the A8 between Munich and Salzburg.
  • C. Stechow-Ferchesar
    Stechow-Ferchesar is a small rural municipality in the Havelland district of Brandenburg, Germany.
  • D. Hohenelbe
    Hohenelbe is the German name for the Czech town of Vrchlabí, a gateway to the Krkonoše (Giant) Mountains region.
  • E. Weßling
    Weßling is a small municipality in Bavaria, Germany, known for its scenic lake and as a residential community near Munich.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006501b488190a2ab09dbf1532571 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec88c69088190a61f0a5719e99b87 completed May 9, 2026, 5:39 a.m.
NEDg Description generation batch_69fec93109c08190a3499e4520e31604 completed May 9, 2026, 5:42 a.m.
NED2 Entity disambiguation (via description) batch_69fecc6fa8f88190aa6956e6e2b1f8ab completed May 9, 2026, 5:55 a.m.
Created at: April 10, 2026, 3:09 a.m.