Triple

T1002868
Position Surface form Disambiguated ID Type / Status
Subject Hanover E21642 entity
Predicate hasLandmark P105 FINISHED
Object Maschsee
Maschsee is an artificial lake and popular recreational area in Hanover, Germany, known for boating, walking paths, and cultural events.
E122284 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: Maschsee | Statement: [Hanover, hasLandmark, Maschsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maschsee
Context triple: [Hanover, hasLandmark, Maschsee]
  • A. Schluchsee
    Schluchsee is a large reservoir and popular recreational lake in Germany’s Black Forest, known for swimming, sailing, and scenic hiking.
  • B. Staffelsee
    Staffelsee is a picturesque lake in southern Bavaria, Germany, known for its islands, warm bathing waters, and scenic Alpine surroundings.
  • C. Ammersee
    Ammersee is a large glacial lake in southern Germany known for its scenic shores, recreational activities, and proximity to the Alps.
  • D. Schlachtensee
    Schlachtensee is a lake and popular recreational area in southwestern Berlin, known for swimming, walking trails, and its surrounding forested landscape.
  • E. Starnberger See
    Starnberger See is a large, scenic lake in southern Germany known for its affluent lakeside communities, recreational activities, and historical associations with Bavarian royalty.
  • 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: Maschsee
Triple: [Hanover, hasLandmark, Maschsee]
Generated description
Maschsee is an artificial lake and popular recreational area in Hanover, Germany, known for boating, walking paths, and cultural events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maschsee
Target entity description: Maschsee is an artificial lake and popular recreational area in Hanover, Germany, known for boating, walking paths, and cultural events.
  • A. Schluchsee
    Schluchsee is a large reservoir and popular recreational lake in Germany’s Black Forest, known for swimming, sailing, and scenic hiking.
  • B. Staffelsee
    Staffelsee is a picturesque lake in southern Bavaria, Germany, known for its islands, warm bathing waters, and scenic Alpine surroundings.
  • C. Ammersee
    Ammersee is a large glacial lake in southern Germany known for its scenic shores, recreational activities, and proximity to the Alps.
  • D. Schlachtensee
    Schlachtensee is a lake and popular recreational area in southwestern Berlin, known for swimming, walking trails, and its surrounding forested landscape.
  • E. Starnberger See
    Starnberger See is a large, scenic lake in southern Germany known for its affluent lakeside communities, recreational activities, and historical associations with Bavarian royalty.
  • 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4fe0a548190aee8abf1890e141e completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3ba7063c8190ba79e974cf38cdea completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3c41ab70819090084c508dbfd295 completed March 7, 2026, 2:54 p.m.
NED2 Entity disambiguation (via description) batch_69ac3cbb30d081909759df25c21eb275 completed March 7, 2026, 2:56 p.m.
Created at: March 1, 2026, 7:41 p.m.