Triple

T5252099
Position Surface form Disambiguated ID Type / Status
Subject Gunzenhausen E118611 entity
Predicate hasNearbyLake P17985 FINISHED
Object Altmühlsee
Altmühlsee is an artificial recreational lake in Bavaria, Germany, popular for swimming, sailing, and nature conservation.
E509447 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: Altmühlsee | Statement: [Gunzenhausen, hasNearbyLake, Altmühlsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altmühlsee
Context triple: [Gunzenhausen, hasNearbyLake, Altmühlsee]
  • A. Würmsee
    Würmsee is the historical name of the Bavarian lake now known as Starnberger See, one of Germany’s largest and most famous lakes near Munich.
  • B. Ammersee
    Ammersee is a large glacial lake in southern Germany known for its scenic shores, recreational activities, and proximity to the Alps.
  • C. Chiemsee
    Chiemsee is one of Germany’s largest lakes, famed for its scenic Alpine setting and historic islands such as Herrenchiemsee with its royal palace.
  • D. Schluchsee
    Schluchsee is a large reservoir and popular recreational lake in Germany’s Black Forest, known for swimming, sailing, and scenic hiking.
  • E. Oberaarsee
    Oberaarsee is a high-altitude reservoir lake in the Swiss Alps, known for its striking turquoise waters and surrounding glacier-fed mountain scenery.
  • 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: Altmühlsee
Triple: [Gunzenhausen, hasNearbyLake, Altmühlsee]
Generated description
Altmühlsee is an artificial recreational lake in Bavaria, Germany, popular for swimming, sailing, and nature conservation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Altmühlsee
Target entity description: Altmühlsee is an artificial recreational lake in Bavaria, Germany, popular for swimming, sailing, and nature conservation.
  • A. Würmsee
    Würmsee is the historical name of the Bavarian lake now known as Starnberger See, one of Germany’s largest and most famous lakes near Munich.
  • B. Ammersee
    Ammersee is a large glacial lake in southern Germany known for its scenic shores, recreational activities, and proximity to the Alps.
  • C. Chiemsee
    Chiemsee is one of Germany’s largest lakes, famed for its scenic Alpine setting and historic islands such as Herrenchiemsee with its royal palace.
  • D. Schluchsee
    Schluchsee is a large reservoir and popular recreational lake in Germany’s Black Forest, known for swimming, sailing, and scenic hiking.
  • E. Oberaarsee
    Oberaarsee is a high-altitude reservoir lake in the Swiss Alps, known for its striking turquoise waters and surrounding glacier-fed mountain scenery.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b7b840881908bb1ecb8a0047382 completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10cdb614819092621690e836338e completed March 21, 2026, 9:42 p.m.
NEDg Description generation batch_69bf11949c8c8190ad3643d1accdf8a4 completed March 21, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69bf11f901e08190b1d708ed88ea7865 completed March 21, 2026, 9:47 p.m.
Created at: March 20, 2026, 1:50 p.m.