Triple

T8733250
Position Surface form Disambiguated ID Type / Status
Subject Teutoburg Forest E207308 entity
Predicate highestPoint P210 FINISHED
Object Barnacken
Barnacken is a hill in North Rhine-Westphalia, Germany, known as the highest elevation in the Teutoburg Forest range.
E753144 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: Barnacken | Statement: [Teutoburg Forest, highestPoint, Barnacken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barnacken
Context triple: [Teutoburg Forest, highestPoint, Barnacken]
  • A. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • B. Hjorthagen
    Hjorthagen is a residential district in northeastern Stockholm, Sweden, known for its mix of historic workers’ housing and modern developments near the Royal National City Park and the Värtan harbor area.
  • C. Kleeburg
    Kleeburg is a historical territory in the Holy Roman Empire that gave its name to the cadet branch of the Wittelsbach dynasty known as the Counts Palatine of Zweibrücken-Kleeburg.
  • D. Tyvholm
    Tyvholm is one of the small Danish islands that form part of the Hirsholmene archipelago in the Kattegat.
  • E. Nannfeldt
    Nannfeldt was a mycologist and taxonomist known for his influential work on the classification and nomenclature of fungi, particularly within the Ascomycota.
  • 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: Barnacken
Triple: [Teutoburg Forest, highestPoint, Barnacken]
Generated description
Barnacken is a hill in North Rhine-Westphalia, Germany, known as the highest elevation in the Teutoburg Forest range.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Barnacken
Target entity description: Barnacken is a hill in North Rhine-Westphalia, Germany, known as the highest elevation in the Teutoburg Forest range.
  • A. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • B. Hjorthagen
    Hjorthagen is a residential district in northeastern Stockholm, Sweden, known for its mix of historic workers’ housing and modern developments near the Royal National City Park and the Värtan harbor area.
  • C. Kleeburg
    Kleeburg is a historical territory in the Holy Roman Empire that gave its name to the cadet branch of the Wittelsbach dynasty known as the Counts Palatine of Zweibrücken-Kleeburg.
  • D. Tyvholm
    Tyvholm is one of the small Danish islands that form part of the Hirsholmene archipelago in the Kattegat.
  • E. Nannfeldt
    Nannfeldt was a mycologist and taxonomist known for his influential work on the classification and nomenclature of fungi, particularly within the Ascomycota.
  • 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d2903b08190a5ef29b6d6ca5f1c completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf292d71ec819082095cb7b8b2d39c completed April 3, 2026, 2:42 a.m.
NEDg Description generation batch_69cf2bd4f50c8190bad328e82d299ae0 completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2cbf60808190a006ee4fb26cde41 completed April 3, 2026, 2:58 a.m.
Created at: March 30, 2026, 6:37 p.m.