Triple

T12142647
Position Surface form Disambiguated ID Type / Status
Subject Siegen E289225 entity
Predicate hasLandmark P105 FINISHED
Object Lower Castle
Lower Castle is a historic fortress complex in Siegen, Germany, known for its medieval origins and role in the region’s princely and cultural history.
E964316 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: Lower Castle | Statement: [Siegen, hasLandmark, Lower Castle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lower Castle
Context triple: [Siegen, hasLandmark, Lower Castle]
  • A. Lower Castle
    Lower Castle is the lower fortification complex of Hungary’s historic Visegrád Castle, forming part of its medieval defensive system along the Danube.
  • B. Upper Castle Yard
    Upper Castle Yard is a central courtyard within Dublin Castle, historically serving as a key ceremonial and administrative space in the heart of the complex.
  • C. Storey’s Gate
    Storey’s Gate is a historic street in central London, situated near Westminster’s government and parliamentary buildings.
  • D. Oldcastle
    Oldcastle is a small community located within the town of Tecumseh in southwestern Ontario, Canada.
  • E. Oldcastle
    Oldcastle is an English surname historically associated with Sir John Oldcastle, a Lollard leader and inspiration for Shakespeare’s Falstaff.
  • 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: Lower Castle
Triple: [Siegen, hasLandmark, Lower Castle]
Generated description
Lower Castle is a historic fortress complex in Siegen, Germany, known for its medieval origins and role in the region’s princely and cultural history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lower Castle
Target entity description: Lower Castle is a historic fortress complex in Siegen, Germany, known for its medieval origins and role in the region’s princely and cultural history.
  • A. Lower Castle
    Lower Castle is the lower fortification complex of Hungary’s historic Visegrád Castle, forming part of its medieval defensive system along the Danube.
  • B. Upper Castle Yard
    Upper Castle Yard is a central courtyard within Dublin Castle, historically serving as a key ceremonial and administrative space in the heart of the complex.
  • C. Storey’s Gate
    Storey’s Gate is a historic street in central London, situated near Westminster’s government and parliamentary buildings.
  • D. Oldcastle
    Oldcastle is a small community located within the town of Tecumseh in southwestern Ontario, Canada.
  • E. Oldcastle
    Oldcastle is an English surname historically associated with Sir John Oldcastle, a Lollard leader and inspiration for Shakespeare’s Falstaff.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915a9838081909622cc14df2a2582 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69501348190a9ac090c7db37c20 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5ff815b748190932bfe163ea2847d completed May 2, 2026, 1:43 p.m.
NED2 Entity disambiguation (via description) batch_69f60185ce8c8190abe3b1f633aac55d completed May 2, 2026, 1:52 p.m.
Created at: April 8, 2026, 9:49 p.m.