Triple

T20366437
Position Surface form Disambiguated ID Type / Status
Subject Hegau E496921 entity
Predicate hasLandmark P105 FINISHED
Object Hohenhewen
Hohenhewen is a prominent extinct volcanic cone and hilltop castle ruin in Germany’s Hegau region, known for its striking silhouette and panoramic views.
E1426382 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: Hohenhewen | Statement: [Hegau, hasLandmark, Hohenhewen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hohenhewen
Context triple: [Hegau, hasLandmark, Hohenhewen]
  • A. Reideburg
    Reideburg is a district of Halle (Saale) in the German state of Saxony-Anhalt, known as the birthplace of prominent politician Hans-Dietrich Genscher.
  • B. Hohenwarte
    Hohenwarte is a small settlement in Thuringia, Germany, known for its location by the Hohenwarte Dam on the Saale River.
  • C. Mellstock
    Mellstock is a fictional rural parish in Thomas Hardy’s Wessex, best known as the setting of his novel "Under the Greenwood Tree."
  • D. Hohenfurch
    Hohenfurch is a small Bavarian municipality in southern Germany, known for its rural character and scenic location near the Alps.
  • E. Hohen Viecheln
    Hohen Viecheln is a small municipality in the Mecklenburg-Vorpommern region of northern Germany, situated on the shores of Lake Schwerin.
  • 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: Hohenhewen
Triple: [Hegau, hasLandmark, Hohenhewen]
Generated description
Hohenhewen is a prominent extinct volcanic cone and hilltop castle ruin in Germany’s Hegau region, known for its striking silhouette and panoramic views.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hohenhewen
Target entity description: Hohenhewen is a prominent extinct volcanic cone and hilltop castle ruin in Germany’s Hegau region, known for its striking silhouette and panoramic views.
  • A. Reideburg
    Reideburg is a district of Halle (Saale) in the German state of Saxony-Anhalt, known as the birthplace of prominent politician Hans-Dietrich Genscher.
  • B. Hohenwarte
    Hohenwarte is a small settlement in Thuringia, Germany, known for its location by the Hohenwarte Dam on the Saale River.
  • C. Mellstock
    Mellstock is a fictional rural parish in Thomas Hardy’s Wessex, best known as the setting of his novel "Under the Greenwood Tree."
  • D. Hohenfurch
    Hohenfurch is a small Bavarian municipality in southern Germany, known for its rural character and scenic location near the Alps.
  • E. Hohen Viecheln
    Hohen Viecheln is a small municipality in the Mecklenburg-Vorpommern region of northern Germany, situated on the shores of Lake Schwerin.
  • 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67871bfdc8190948c46497cd675c9 completed April 20, 2026, 7:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087089e0408190be8394376cdec110 completed May 16, 2026, 1:26 p.m.
NEDg Description generation batch_6a087129ce3c8190a67ac34ec697ad31 completed May 16, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0871e3573c81908216b5e508374081 completed May 16, 2026, 1:32 p.m.
Created at: April 16, 2026, 11:26 a.m.