Triple

T8730324
Position Surface form Disambiguated ID Type / Status
Subject Chiemgau region E207237 entity
Predicate hasAttraction P105 FINISHED
Object Hochfelln
Hochfelln is a prominent mountain in the Bavarian Alps known for its panoramic views over the Chiemgau region and Lake Chiemsee.
E767543 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: Hochfelln | Statement: [Chiemgau region, hasAttraction, Hochfelln]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hochfelln
Context triple: [Chiemgau region, hasAttraction, Hochfelln]
  • A. Wiesensteig
    Wiesensteig is a small historic town in the Swabian Alps region of Baden-Württemberg in southern Germany.
  • B. Niederwerrn
    Niederwerrn is a municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
  • C. Glattfelden
    Glattfelden is a municipality in the canton of Zurich in northern Switzerland, known for its scenic setting along the Glatt River and its well-preserved historic village center.
  • D. Obernzell
    Obernzell is a Bavarian municipality on the Danube River near the city of Passau, known for its historic ceramics industry and scenic riverside setting.
  • E. Schönbichl
    Schönbichl is a small island located in the Eibsee, a picturesque alpine lake at the foot of Germany’s Zugspitze mountain.
  • 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: Hochfelln
Triple: [Chiemgau region, hasAttraction, Hochfelln]
Generated description
Hochfelln is a prominent mountain in the Bavarian Alps known for its panoramic views over the Chiemgau region and Lake Chiemsee.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hochfelln
Target entity description: Hochfelln is a prominent mountain in the Bavarian Alps known for its panoramic views over the Chiemgau region and Lake Chiemsee.
  • A. Wiesensteig
    Wiesensteig is a small historic town in the Swabian Alps region of Baden-Württemberg in southern Germany.
  • B. Niederwerrn
    Niederwerrn is a municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
  • C. Glattfelden
    Glattfelden is a municipality in the canton of Zurich in northern Switzerland, known for its scenic setting along the Glatt River and its well-preserved historic village center.
  • D. Obernzell
    Obernzell is a Bavarian municipality on the Danube River near the city of Passau, known for its historic ceramics industry and scenic riverside setting.
  • E. Schönbichl
    Schönbichl is a small island located in the Eibsee, a picturesque alpine lake at the foot of Germany’s Zugspitze mountain.
  • 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d26d280819085e15d4917c2b9a5 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1b953448190bac2c222fcc722bb completed April 3, 2026, 1:33 p.m.
NEDg Description generation batch_69cfc2a5f74c819082566ae7ed78f117 completed April 3, 2026, 1:37 p.m.
NED2 Entity disambiguation (via description) batch_69cfc3731fbc8190bd3efc9a9786d078 completed April 3, 2026, 1:41 p.m.
Created at: March 30, 2026, 6:37 p.m.