Triple

T1771401
Position Surface form Disambiguated ID Type / Status
Subject Würzburg radar E38881 entity
Predicate hasVariant P455 FINISHED
Object Würzburg Riese
Würzburg Riese was a larger, more powerful German World War II ground-based radar system used primarily for air defense and gun-laying.
 E200144 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: Würzburg Riese | Statement: [Würzburg radar, hasVariant, Würzburg Riese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Würzburg Riese
Context triple: [Würzburg radar, hasVariant, Würzburg Riese]
  • A. Roter Turm
    Roter Turm is a historic medieval tower and prominent architectural landmark in the city center of Chemnitz, Germany.
  • B. Zeppelinfeld
    Zeppelinfeld is a historic Nazi-era rally ground in Nuremberg, Germany, designed by Albert Speer and used for mass propaganda events during the Third Reich.
  • C. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • D. Bad Reichenhall
    Bad Reichenhall is a Bavarian spa town in southeastern Germany, renowned for its alpine setting and historic salt production.
  • E. Luitpoldhain
    Luitpoldhain is a large park in Nuremberg, Germany, historically known for its use as a major site for Nazi Party rallies and now serving as a public recreational and event space.
  • 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: Würzburg Riese
Triple: [Würzburg radar, hasVariant, Würzburg Riese]
Generated description
Würzburg Riese was a larger, more powerful German World War II ground-based radar system used primarily for air defense and gun-laying.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Würzburg Riese
Target entity description: Würzburg Riese was a larger, more powerful German World War II ground-based radar system used primarily for air defense and gun-laying.
  • A. Roter Turm
    Roter Turm is a historic medieval tower and prominent architectural landmark in the city center of Chemnitz, Germany.
  • B. Zeppelinfeld
    Zeppelinfeld is a historic Nazi-era rally ground in Nuremberg, Germany, designed by Albert Speer and used for mass propaganda events during the Third Reich.
  • C. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • D. Bad Reichenhall
    Bad Reichenhall is a Bavarian spa town in southeastern Germany, renowned for its alpine setting and historic salt production.
  • E. Luitpoldhain
    Luitpoldhain is a large park in Nuremberg, Germany, historically known for its use as a major site for Nazi Party rallies and now serving as a public recreational and event space.
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa648fe908819098fd27b74b17fabb completed March 6, 2026, 5:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada995dab48190b7efcf1007fc9d5f completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adaab3b5008190ba5a07636fe3f2eb completed March 8, 2026, 4:58 p.m.
NED2 Entity disambiguation (via description) batch_69adaea83bfc8190a526d5f2bd460e4c completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:31 p.m.