Triple

T6240463
Position Surface form Disambiguated ID Type / Status
Subject Mauthausen concentration camp E139585 entity
Predicate hasSubcamp P747 FINISHED
Object Gusen I
Gusen I was a major Nazi concentration camp in Austria, notorious for its brutal forced labor, extremely high death rate, and role in the Mauthausen camp complex during World War II.
 E578867 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: Gusen I | Statement: [Mauthausen concentration camp, hasSubcamp, Gusen I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gusen I
Context triple: [Mauthausen concentration camp, hasSubcamp, Gusen I]
  • A. Gugino
    Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
  • B. Ganguise
    Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
  • C. Gusu
    Gusu is an ancient name for the city of Suzhou, historically renowned as a cultural and economic center famed for its classical gardens, canals, and silk.
  • D. Gavar
    Gavar is a town in Armenia that serves as a regional center near Lake Sevan in the Gegharkunik Province.
  • E. Ersari
    Ersari are a major Turkmen tribal group historically known for their role in Central Asian nomadic culture and distinctive carpet-weaving traditions.
  • 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: Gusen I
Triple: [Mauthausen concentration camp, hasSubcamp, Gusen I]
Generated description
Gusen I was a major Nazi concentration camp in Austria, notorious for its brutal forced labor, extremely high death rate, and role in the Mauthausen camp complex during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gusen I
Target entity description: Gusen I was a major Nazi concentration camp in Austria, notorious for its brutal forced labor, extremely high death rate, and role in the Mauthausen camp complex during World War II.
  • A. Gugino
    Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
  • B. Ganguise
    Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
  • C. Gusu
    Gusu is an ancient name for the city of Suzhou, historically renowned as a cultural and economic center famed for its classical gardens, canals, and silk.
  • D. Gavar
    Gavar is a town in Armenia that serves as a regional center near Lake Sevan in the Gegharkunik Province.
  • E. Ersari
    Ersari are a major Turkmen tribal group historically known for their role in Central Asian nomadic culture and distinctive carpet-weaving traditions.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063067d9c819085a18d9d03939266 completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20e07bff8819091ca881c9b4daaf6 completed March 24, 2026, 4:07 a.m.
NEDg Description generation batch_69c214aaef308190be1166c1389bf3d3 completed March 24, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_69c21508dbec8190b9bb4806a83ecb13 completed March 24, 2026, 4:37 a.m.
Created at: March 22, 2026, 4:23 p.m.