Triple

T4128967
Position Surface form Disambiguated ID Type / Status
Subject Bad Waldsee E84993 entity
Predicate hasLandmark P105 FINISHED
Object Stadtsee lakefront
Stadtsee lakefront is a scenic waterfront area in Bad Waldsee, Germany, known for its picturesque views, walking paths, and recreational opportunities along the Stadtsee lake.
E416140 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: Stadtsee lakefront | Statement: [Bad Waldsee, hasLandmark, Stadtsee lakefront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stadtsee lakefront
Context triple: [Bad Waldsee, hasLandmark, Stadtsee lakefront]
  • A. Lakeside
    Lakeside is an upscale seafood restaurant at the Wynn Las Vegas known for its lakefront views and fine dining experience.
  • B. Lakeside
    Lakeside is a residential neighborhood in the city of Wakefield, Massachusetts, known for its proximity to the town’s lakes and local amenities.
  • C. Lakeside
    Lakeside is a small settlement in England’s Lake District, known as a lakeside stop and tourist base on the southern shore of Windermere.
  • D. Lakeside
    Lakeside is a suburban community in Henrico County, Virginia, known for its residential neighborhoods and proximity to the city of Richmond.
  • E. Rio Lakefront
    Rio Lakefront is a mixed-use waterfront shopping, dining, and entertainment destination in Gaithersburg, Maryland.
  • 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: Stadtsee lakefront
Triple: [Bad Waldsee, hasLandmark, Stadtsee lakefront]
Generated description
Stadtsee lakefront is a scenic waterfront area in Bad Waldsee, Germany, known for its picturesque views, walking paths, and recreational opportunities along the Stadtsee lake.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stadtsee lakefront
Target entity description: Stadtsee lakefront is a scenic waterfront area in Bad Waldsee, Germany, known for its picturesque views, walking paths, and recreational opportunities along the Stadtsee lake.
  • A. Lakeside
    Lakeside is an upscale seafood restaurant at the Wynn Las Vegas known for its lakefront views and fine dining experience.
  • B. Lakeside
    Lakeside is a suburban community in Henrico County, Virginia, known for its residential neighborhoods and proximity to the city of Richmond.
  • C. Lakeside
    Lakeside is a residential neighborhood in the city of Wakefield, Massachusetts, known for its proximity to the town’s lakes and local amenities.
  • D. Lakeside
    Lakeside is a small settlement in England’s Lake District, known as a lakeside stop and tourist base on the southern shore of Windermere.
  • E. Rio Lakefront
    Rio Lakefront is a mixed-use waterfront shopping, dining, and entertainment destination in Gaithersburg, Maryland.
  • 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af021c5ca48190a829bab07dda55d0 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576bf503c8190be44139a908ee42d completed March 14, 2026, 2:54 p.m.
NEDg Description generation batch_69b577ac31888190b6182b00bd5c709f completed March 14, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_69b57839ee548190804ef306fc9b3a6e completed March 14, 2026, 3:01 p.m.
Created at: March 9, 2026, 3:42 p.m.