Triple

T13110717
Position Surface form Disambiguated ID Type / Status
Subject Kuhberg (Schöneck) E310962 entity
Predicate locatedIn P40 FINISHED
Object Schöneck
Schöneck is a town in the Vogtland region of Saxony, Germany, known for its elevated location and surrounding natural landscapes.
E1096737 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: Schöneck | Statement: [Kuhberg (Schöneck), locatedIn, Schöneck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schöneck
Context triple: [Kuhberg (Schöneck), locatedIn, Schöneck]
  • A. Ödsbach
    Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
  • B. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • C. Eschbach
    Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • D. Kühnhausen
    Kühnhausen is a locality in Germany known historically as the place where Nazi education minister Bernhard Rust died.
  • E. Schwarzenbach
    Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
  • 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: Schöneck
Triple: [Kuhberg (Schöneck), locatedIn, Schöneck]
Generated description
Schöneck is a town in the Vogtland region of Saxony, Germany, known for its elevated location and surrounding natural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schöneck
Target entity description: Schöneck is a town in the Vogtland region of Saxony, Germany, known for its elevated location and surrounding natural landscapes.
  • A. Ödsbach
    Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
  • B. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • C. Eschbach
    Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • D. Kühnhausen
    Kühnhausen is a locality in Germany known historically as the place where Nazi education minister Bernhard Rust died.
  • E. Schwarzenbach
    Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817e4f408190b77c198b4157d77a completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd54f5323c8190aa239bad461b0857 completed May 8, 2026, 3:13 a.m.
NEDg Description generation batch_69fd55b6d4ec8190963e7361589efd43 completed May 8, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_69fd562a3e788190925589dfc7699fe5 completed May 8, 2026, 3:19 a.m.
Created at: April 9, 2026, 9:05 p.m.