Triple

T14484808
Position Surface form Disambiguated ID Type / Status
Subject Prince Albert of Prussia E359198 entity
Predicate placeOfDeath P21 FINISHED
Object Kammerforst
Kammerforst is a locality in Germany notable as the place where Prince Albert of Prussia died.
E1101048 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: Kammerforst | Statement: [Prince Albert of Prussia, placeOfDeath, Kammerforst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kammerforst
Context triple: [Prince Albert of Prussia, placeOfDeath, Kammerforst]
  • A. Kottenforst
    Kottenforst is a large forested area in western Germany known for its beech woodlands, biodiversity, and extensive network of hiking and cycling trails.
  • B. Granitz Forest
    Granitz Forest is a scenic woodland area on Germany’s Rügen Island, known for its beech forests, hiking trails, and the historic Granitz Hunting Lodge.
  • C. Knüllwald
    Knüllwald is a municipality in central Germany known for its rural character and forested landscapes within the state of Hesse.
  • D. Habichtswald
    Habichtswald is a low mountain range and forested natural area in central Germany, known for its scenic landscapes and hiking trails near the city of Kassel.
  • E. Steigerwald
    Steigerwald is a forested hill range and nature area in northern Bavaria, Germany, known for its beech forests, vineyards, and traditional Franconian landscapes.
  • 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: Kammerforst
Triple: [Prince Albert of Prussia, placeOfDeath, Kammerforst]
Generated description
Kammerforst is a locality in Germany notable as the place where Prince Albert of Prussia died.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kammerforst
Target entity description: Kammerforst is a locality in Germany notable as the place where Prince Albert of Prussia died.
  • A. Kottenforst
    Kottenforst is a large forested area in western Germany known for its beech woodlands, biodiversity, and extensive network of hiking and cycling trails.
  • B. Granitz Forest
    Granitz Forest is a scenic woodland area on Germany’s Rügen Island, known for its beech forests, hiking trails, and the historic Granitz Hunting Lodge.
  • C. Knüllwald
    Knüllwald is a municipality in central Germany known for its rural character and forested landscapes within the state of Hesse.
  • D. Habichtswald
    Habichtswald is a low mountain range and forested natural area in central Germany, known for its scenic landscapes and hiking trails near the city of Kassel.
  • E. Steigerwald
    Steigerwald is a forested hill range and nature area in northern Bavaria, Germany, known for its beech forests, vineyards, and traditional Franconian landscapes.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924d7f4c8190b1f62b5ffe1ff649 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a73cf48190811d6de182e891c4 completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd66d3f2448190b8926c479ce95e83 completed May 8, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_69fd67b5cd2c8190871d22ebdc64dd11 completed May 8, 2026, 4:33 a.m.
Created at: April 10, 2026, 1:20 a.m.