Triple

T9406368
Position Surface form Disambiguated ID Type / Status
Subject Führerhauptquartier system E226597 entity
Predicate hasComponent P35 FINISHED
Object Anlage Süd
Anlage Süd was a World War II German military command complex used as one of Adolf Hitler’s Führer Headquarters.
 E797223 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: Anlage Süd | Statement: [Führerhauptquartier system, hasComponent, Anlage Süd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anlage Süd
Context triple: [Führerhauptquartier system, hasComponent, Anlage Süd]
  • A. Südlohn
    Südlohn is a municipality in western North Rhine-Westphalia, Germany, near the Dutch border.
  • B. Achagua
    Achagua are an Indigenous people of the Orinoco region in Colombia and Venezuela, traditionally known for their riverine lifestyle, agriculture, and distinct Arawakan language.
  • C. Südkreuz
    Südkreuz is a major Berlin railway and transport interchange that serves as one of the city’s key regional, long-distance, and urban transit stations.
  • D. Längenfeld
    Längenfeld is a Tyrolean municipality in western Austria known for its alpine scenery and thermal spa resort Aqua Dome in the Ötztal valley.
  • E. Badeloch
    Badeloch is a central female character in Joost van den Vondel’s Dutch play "Gijsbrecht van Aemstel," known as the loyal and tragic wife of the title hero.
  • 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: Anlage Süd
Triple: [Führerhauptquartier system, hasComponent, Anlage Süd]
Generated description
Anlage Süd was a World War II German military command complex used as one of Adolf Hitler’s Führer Headquarters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anlage Süd
Target entity description: Anlage Süd was a World War II German military command complex used as one of Adolf Hitler’s Führer Headquarters.
  • A. Südlohn
    Südlohn is a municipality in western North Rhine-Westphalia, Germany, near the Dutch border.
  • B. Achagua
    Achagua are an Indigenous people of the Orinoco region in Colombia and Venezuela, traditionally known for their riverine lifestyle, agriculture, and distinct Arawakan language.
  • C. Südkreuz
    Südkreuz is a major Berlin railway and transport interchange that serves as one of the city’s key regional, long-distance, and urban transit stations.
  • D. Längenfeld
    Längenfeld is a Tyrolean municipality in western Austria known for its alpine scenery and thermal spa resort Aqua Dome in the Ötztal valley.
  • E. Badeloch
    Badeloch is a central female character in Joost van den Vondel’s Dutch play "Gijsbrecht van Aemstel," known as the loyal and tragic wife of the title hero.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51c3fc988190ac34cc9e09f8ebfc completed April 1, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1079bd644819081f9c8f25ff1c532 completed April 4, 2026, 12:44 p.m.
NEDg Description generation batch_69d1082f41b48190b8588bb986028f59 completed April 4, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_69d108bab8c881909748ffbb4b23f4ba completed April 4, 2026, 12:48 p.m.
Created at: March 30, 2026, 7:47 p.m.