Triple

T10442143
Position Surface form Disambiguated ID Type / Status
Subject Fichtel Mountains E246194 entity
Predicate hasPeak P8205 FINISHED
Object Ochsenkopf
Ochsenkopf is one of the highest and most prominent mountains in Germany’s Fichtelgebirge, known for its ski area, hiking trails, and summit broadcasting tower.
E864989 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: Ochsenkopf | Statement: [Fichtel Mountains, hasPeak, Ochsenkopf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ochsenkopf
Context triple: [Fichtel Mountains, hasPeak, Ochsenkopf]
  • A. Hornschuch
    Hornschuch is a German surname most notably associated with Karl Georg Hornschuch, a 19th-century botanist and bryologist.
  • B. Biedenkopf
    Biedenkopf is a small historic town in the German state of Hesse, known for its medieval old town and hilltop castle.
  • C. Lauensteiner Kopf
    Lauensteiner Kopf is a prominent hill in Lower Saxony, Germany, known as the summit of the Ith ridge and a notable feature of the surrounding landscape.
  • D. Bocksberg
    Bocksberg is a mountain in the Harz region of Germany, known for its hiking trails, winter sports facilities, and scenic views near the village of Hahnenklee.
  • E. Obergartzem
    Obergartzem is a village in the town of Mechernich in North Rhine-Westphalia, western Germany.
  • 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: Ochsenkopf
Triple: [Fichtel Mountains, hasPeak, Ochsenkopf]
Generated description
Ochsenkopf is one of the highest and most prominent mountains in Germany’s Fichtelgebirge, known for its ski area, hiking trails, and summit broadcasting tower.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ochsenkopf
Target entity description: Ochsenkopf is one of the highest and most prominent mountains in Germany’s Fichtelgebirge, known for its ski area, hiking trails, and summit broadcasting tower.
  • A. Hornschuch
    Hornschuch is a German surname most notably associated with Karl Georg Hornschuch, a 19th-century botanist and bryologist.
  • B. Biedenkopf
    Biedenkopf is a small historic town in the German state of Hesse, known for its medieval old town and hilltop castle.
  • C. Lauensteiner Kopf
    Lauensteiner Kopf is a prominent hill in Lower Saxony, Germany, known as the summit of the Ith ridge and a notable feature of the surrounding landscape.
  • D. Bocksberg
    Bocksberg is a mountain in the Harz region of Germany, known for its hiking trails, winter sports facilities, and scenic views near the village of Hahnenklee.
  • E. Obergartzem
    Obergartzem is a village in the town of Mechernich in North Rhine-Westphalia, western Germany.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb9ebf488190ae776bd65e94cb00 completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fa5b3b081909af7de1745372add completed April 10, 2026, 6:58 a.m.
NEDg Description generation batch_69d8a1656b348190ba932d03402d6a4d completed April 10, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_69d8a2b82bb48190899f37a967fef444 completed April 10, 2026, 7:11 a.m.
Created at: April 6, 2026, 12:15 p.m.