Triple

T2107406
Position Surface form Disambiguated ID Type / Status
Subject Tegernsee E42425 entity
Predicate hasShore P969 FINISHED
Object Rottach-Egern
Rottach-Egern is a Bavarian resort town in southern Germany known for its picturesque setting on the shores of Lake Tegernsee and its alpine surroundings.
 E273160 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: Rottach-Egern | Statement: [Tegernsee, hasShore, Rottach-Egern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rottach-Egern
Context triple: [Tegernsee, hasShore, Rottach-Egern]
  • A. Eggenfelden
    Eggenfelden is a town in southeastern Germany known as a local commercial and cultural center within the region of Lower Bavaria.
  • B. Altötting
    Altötting is a Bavarian pilgrimage town renowned as one of Germany’s most important Catholic shrines, centered around the Chapel of Grace and its venerated Black Madonna.
  • C. Neuötting
    Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
  • D. Rottal-Inn
    Rottal-Inn is a rural district in southeastern Bavaria, Germany, known for its spa towns, agricultural landscape, and location along the Rott and Inn rivers.
  • E. Ebersberg
    Ebersberg is a small Bavarian town and district capital east of Munich, known for its surrounding forest and traditional Upper Bavarian character.
  • 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: Rottach-Egern
Triple: [Tegernsee, hasShore, Rottach-Egern]
Generated description
Rottach-Egern is a Bavarian resort town in southern Germany known for its picturesque setting on the shores of Lake Tegernsee and its alpine surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rottach-Egern
Target entity description: Rottach-Egern is a Bavarian resort town in southern Germany known for its picturesque setting on the shores of Lake Tegernsee and its alpine surroundings.
  • A. Eggenfelden
    Eggenfelden is a town in southeastern Germany known as a local commercial and cultural center within the region of Lower Bavaria.
  • B. Altötting
    Altötting is a Bavarian pilgrimage town renowned as one of Germany’s most important Catholic shrines, centered around the Chapel of Grace and its venerated Black Madonna.
  • C. Neuötting
    Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
  • D. Rottal-Inn
    Rottal-Inn is a rural district in southeastern Bavaria, Germany, known for its spa towns, agricultural landscape, and location along the Rott and Inn rivers.
  • E. Ebersberg
    Ebersberg is a small Bavarian town and district capital east of Munich, known for its surrounding forest and traditional Upper Bavarian character.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbadf12b88190acc513d8512777b2 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f72ad8c81909da734f6316f747f completed March 9, 2026, 7:28 p.m.
NEDg Description generation batch_69af21e9efd08190829bd7c4b1c50695 completed March 9, 2026, 7:39 p.m.
NED2 Entity disambiguation (via description) batch_69af22d6a7d4819093640b2797167c46 completed March 9, 2026, 7:43 p.m.
Created at: March 4, 2026, 7:43 p.m.