Triple

T23113539
Position Surface form Disambiguated ID Type / Status
Subject Schweriner See E576385 entity
Predicate hasCityOnShore P969 FINISHED
Object Plate
Plate is a small municipality in northern Germany located on the shore of the lake Schweriner See.
 E1570695 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: Plate | Statement: [Schweriner See, hasCityOnShore, Plate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Plate
Context triple: [Schweriner See, hasCityOnShore, Plate]
  • A. Gerlosplatte
    Gerlosplatte is a high alpine plateau and ski area in the Austrian Alps, known for its wide slopes and scenic views within the larger Zillertal Arena ski region.
  • B. Ploče
    Ploče is a coastal town and seaport in southern Croatia, serving as an important maritime and transport hub on the Adriatic Sea.
  • C. Schijf
    Schijf is a small village in the Dutch province of North Brabant, located within the municipality of Rucphen.
  • D. Plave
    Plave is a small settlement in western Slovenia, situated along the Soča River near the town of Kanal ob Soči.
  • E. Placa
    Placa is the main limestone-paved pedestrian street running through the historic center of Dubrovnik, Croatia.
  • 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: Plate
Triple: [Schweriner See, hasCityOnShore, Plate]
Generated description
Plate is a small municipality in northern Germany located on the shore of the lake Schweriner See.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Plate
Target entity description: Plate is a small municipality in northern Germany located on the shore of the lake Schweriner See.
  • A. Gerlosplatte
    Gerlosplatte is a high alpine plateau and ski area in the Austrian Alps, known for its wide slopes and scenic views within the larger Zillertal Arena ski region.
  • B. Ploče
    Ploče is a coastal town and seaport in southern Croatia, serving as an important maritime and transport hub on the Adriatic Sea.
  • C. Schijf
    Schijf is a small village in the Dutch province of North Brabant, located within the municipality of Rucphen.
  • D. Plave
    Plave is a small settlement in western Slovenia, situated along the Soča River near the town of Kanal ob Soči.
  • E. Placa
    Placa is the main limestone-paved pedestrian street running through the historic center of Dubrovnik, Croatia.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e1121c08190a1d29fe594071c46 completed April 29, 2026, 4:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c23ec62f08190a4dda0d537a7b024 completed May 19, 2026, 8:48 a.m.
NEDg Description generation batch_6a0c271e8a8c8190ba994f557f077288 completed May 19, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0c27d3befc8190bc7a3697bc0e817b completed May 19, 2026, 9:05 a.m.
Created at: April 17, 2026, 3:59 p.m.