Triple

T16760275
Position Surface form Disambiguated ID Type / Status
Subject Battle of Wenzenbach E407322 entity
Predicate location P40 FINISHED
Object Wenzenbach
Wenzenbach is a municipality in Bavaria, Germany, historically noted as the site of the 1504 Battle of Wenzenbach during the Landshut War of Succession.
E1234348 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: Wenzenbach | Statement: [Battle of Wenzenbach, location, Wenzenbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wenzenbach
Context triple: [Battle of Wenzenbach, location, Wenzenbach]
  • A. Weilersbach
    Weilersbach is a small municipality in the Forchheim district of Bavaria, Germany, known for its rural character and proximity to the Franconian Switzerland region.
  • B. Pfiffelbach
    Pfiffelbach is a small municipality in the Weimarer Land district of the German federal state of Thuringia.
  • C. Biwerbach
    Biwerbach is a small locality within the commune of Troisvierges in northern Luxembourg.
  • D. Breidenbach
    Breidenbach is a small town located in the German region of Westphalia.
  • E. Breidenbach
    Breidenbach is a municipality in the German state of Hesse, known for its rural setting near the Rothaar Mountains and proximity to the town of Bad Laasphe.
  • 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: Wenzenbach
Triple: [Battle of Wenzenbach, location, Wenzenbach]
Generated description
Wenzenbach is a municipality in Bavaria, Germany, historically noted as the site of the 1504 Battle of Wenzenbach during the Landshut War of Succession.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wenzenbach
Target entity description: Wenzenbach is a municipality in Bavaria, Germany, historically noted as the site of the 1504 Battle of Wenzenbach during the Landshut War of Succession.
  • A. Weilersbach
    Weilersbach is a small municipality in the Forchheim district of Bavaria, Germany, known for its rural character and proximity to the Franconian Switzerland region.
  • B. Pfiffelbach
    Pfiffelbach is a small municipality in the Weimarer Land district of the German federal state of Thuringia.
  • C. Biwerbach
    Biwerbach is a small locality within the commune of Troisvierges in northern Luxembourg.
  • D. Breidenbach
    Breidenbach is a small town located in the German region of Westphalia.
  • E. Breidenbach
    Breidenbach is a municipality in the German state of Hesse, known for its rural setting near the Rothaar Mountains and proximity to the town of Bad Laasphe.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abec638c81909d71ff452a4123c9 completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b283a9808190ba76110cf3c7f3a9 completed May 10, 2026, 4:29 p.m.
NEDg Description generation batch_6a00b31a57388190b90faa66f9483661 completed May 10, 2026, 4:32 p.m.
NED2 Entity disambiguation (via description) batch_6a00b38a31e08190b92a37cb611043df completed May 10, 2026, 4:34 p.m.
Created at: April 10, 2026, 5:21 a.m.