Triple

T4742475
Position Surface form Disambiguated ID Type / Status
Subject Karwendel E105276 entity
Predicate hasValley P650 FINISHED
Object Engertal
Engertal is a scenic alpine valley in the Karwendel mountain range, known for its rugged peaks, forests, and popular hiking routes.
 E470990 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: Engertal | Statement: [Karwendel, hasValley, Engertal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Engertal
Context triple: [Karwendel, hasValley, Engertal]
  • A. Erasbach
    Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
  • B. Gersfeld
    Gersfeld is a small German town in the state of Hesse, known as a gateway to the Rhön Mountains and a base for outdoor activities like hiking and winter sports.
  • C. Brackenberg
    Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
  • D. Goppenstein
    Goppenstein is a small Swiss village in the canton of Valais, best known as a key railway junction and car shuttle station on the Lötschberg route through the Alps.
  • E. Biesenthal
    Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
  • 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: Engertal
Triple: [Karwendel, hasValley, Engertal]
Generated description
Engertal is a scenic alpine valley in the Karwendel mountain range, known for its rugged peaks, forests, and popular hiking routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Engertal
Target entity description: Engertal is a scenic alpine valley in the Karwendel mountain range, known for its rugged peaks, forests, and popular hiking routes.
  • A. Erasbach
    Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
  • B. Gersfeld
    Gersfeld is a small German town in the state of Hesse, known as a gateway to the Rhön Mountains and a base for outdoor activities like hiking and winter sports.
  • C. Brackenberg
    Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
  • D. Goppenstein
    Goppenstein is a small Swiss village in the canton of Valais, best known as a key railway junction and car shuttle station on the Lötschberg route through the Alps.
  • E. Biesenthal
    Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64a7153881909eac451fc7566d25 completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d851fcc8190bb7ae007f8a5ce1d completed March 21, 2026, 7:49 a.m.
NEDg Description generation batch_69be4df820408190822de7b30a15cb9e completed March 21, 2026, 7:51 a.m.
NED2 Entity disambiguation (via description) batch_69be4e95399c81908d152c7f1485c1e8 completed March 21, 2026, 7:53 a.m.
Created at: March 20, 2026, 1:19 p.m.