Triple

T1381702
Position Surface form Disambiguated ID Type / Status
Subject Lüneburg Heath E29351 entity
Predicate contains P35 FINISHED
Object Wilseder Berg
Wilseder Berg is a prominent hill and popular viewpoint in northern Germany, known for its scenic heathland landscapes within the Lüneburg Heath region.
E165502 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: Wilseder Berg | Statement: [Lüneburg Heath, contains, Wilseder Berg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilseder Berg
Context triple: [Lüneburg Heath, contains, Wilseder Berg]
  • A. Nadelhorn
    Nadelhorn is a prominent 4,000-meter-class peak in the Swiss Alps, known for its sharp, needle-like summit and popular alpine climbing routes.
  • B. Grauspitz
    Grauspitz is a prominent alpine peak in the Rätikon range of the Alps, known as the highest mountain in Liechtenstein and shared with Switzerland.
  • C. Sankt Andreasberg
    Sankt Andreasberg is a historic former mining town and popular mountain resort in the Upper Harz region of central Germany.
  • D. Brocken
    Brocken is a prominent mountain in central Germany’s Harz range, known for its harsh climate, folklore, and role in literature and cultural history.
  • E. Rimpfischhorn
    Rimpfischhorn is a prominent high-altitude mountain in the Swiss Pennine Alps, known for its glaciated slopes and challenging climbing routes.
  • 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: Wilseder Berg
Triple: [Lüneburg Heath, contains, Wilseder Berg]
Generated description
Wilseder Berg is a prominent hill and popular viewpoint in northern Germany, known for its scenic heathland landscapes within the Lüneburg Heath region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wilseder Berg
Target entity description: Wilseder Berg is a prominent hill and popular viewpoint in northern Germany, known for its scenic heathland landscapes within the Lüneburg Heath region.
  • A. Nadelhorn
    Nadelhorn is a prominent 4,000-meter-class peak in the Swiss Alps, known for its sharp, needle-like summit and popular alpine climbing routes.
  • B. Grauspitz
    Grauspitz is a prominent alpine peak in the Rätikon range of the Alps, known as the highest mountain in Liechtenstein and shared with Switzerland.
  • C. Sankt Andreasberg
    Sankt Andreasberg is a historic former mining town and popular mountain resort in the Upper Harz region of central Germany.
  • D. Brocken
    Brocken is a prominent mountain in central Germany’s Harz range, known for its harsh climate, folklore, and role in literature and cultural history.
  • E. Rimpfischhorn
    Rimpfischhorn is a prominent high-altitude mountain in the Swiss Pennine Alps, known for its glaciated slopes and challenging climbing routes.
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c31b176c8190a896183140c5c8be completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08a9dd308190999d349f8b6297b8 completed March 8, 2026, 5:27 a.m.
NEDg Description generation batch_69ad09d0c4d88190b5f79a92821ef577 completed March 8, 2026, 5:32 a.m.
NED2 Entity disambiguation (via description) batch_69ad0a5eeac08190a4d13f4819fc1aba completed March 8, 2026, 5:34 a.m.
Created at: March 1, 2026, 7:59 p.m.