Triple

T910519
Position Surface form Disambiguated ID Type / Status
Subject Adolf Galland E19646 entity
Predicate placeOfDeath P21 FINISHED
Object Remagen, Germany
Remagen, Germany is a town on the Rhine River best known for its strategically important Ludendorff Bridge, which played a key role in World War II.
E107474 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: Remagen, Germany | Statement: [Adolf Galland, placeOfDeath, Remagen, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Remagen, Germany
Context triple: [Adolf Galland, placeOfDeath, Remagen, Germany]
  • A. Jena
    Jena is a historic university city in the German state of Thuringia, known for its role in optics, philosophy, and science.
  • B. Spandau
    Spandau is a western borough of Berlin, Germany, known for its historic old town, fortress, and role as an important residential and industrial district.
  • C. Nuremberg
    Nuremberg is a historic city in Bavaria, Germany, known for its medieval architecture and its role as the site of the post–World War II war crimes tribunals.
  • D. Potsdam
    Potsdam is a historic German city near Berlin, known for its palaces, parks, and role in major 20th-century diplomatic events.
  • E. Bastogne
    Bastogne is a town in southeastern Belgium best known for its strategic role and fierce fighting during World War II’s Battle of the Bulge.
  • 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: Remagen, Germany
Triple: [Adolf Galland, placeOfDeath, Remagen, Germany]
Generated description
Remagen, Germany is a town on the Rhine River best known for its strategically important Ludendorff Bridge, which played a key role in World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Remagen, Germany
Target entity description: Remagen, Germany is a town on the Rhine River best known for its strategically important Ludendorff Bridge, which played a key role in World War II.
  • A. Jena
    Jena is a historic university city in the German state of Thuringia, known for its role in optics, philosophy, and science.
  • B. Spandau
    Spandau is a western borough of Berlin, Germany, known for its historic old town, fortress, and role as an important residential and industrial district.
  • C. Nuremberg
    Nuremberg is a historic city in Bavaria, Germany, known for its medieval architecture and its role as the site of the post–World War II war crimes tribunals.
  • D. Potsdam
    Potsdam is a historic German city near Berlin, known for its palaces, parks, and role in major 20th-century diplomatic events.
  • E. Bastogne
    Bastogne is a town in southeastern Belgium best known for its strategic role and fierce fighting during World War II’s Battle of the Bulge.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2dca5208190bc9f17cd9dd6a98f completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c73d5bdc8190828cdf9f54e33a46 completed March 4, 2026, 5:46 a.m.
NEDg Description generation batch_69a7c8c148708190bfdee5a55ab6d149 completed March 4, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_69a7ca1e37f4819086cda13a446642e2 completed March 4, 2026, 5:58 a.m.
Created at: March 1, 2026, 7:39 p.m.