Triple

T12506145
Position Surface form Disambiguated ID Type / Status
Subject Ligerz railway station E298952 entity
Predicate adjacentTo P224 FINISHED
Object Ligerz lakefront
Ligerz lakefront is a scenic shoreline area on Lake Biel in Switzerland, known for its picturesque views, vineyards, and lakeside promenade.
 E986755 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: Ligerz lakefront | Statement: [Ligerz railway station, adjacentTo, Ligerz lakefront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ligerz lakefront
Context triple: [Ligerz railway station, adjacentTo, Ligerz lakefront]
  • A. Rio Lakefront
    Rio Lakefront is a mixed-use waterfront shopping, dining, and entertainment destination in Gaithersburg, Maryland.
  • B. Lakeside
    Lakeside is an upscale seafood restaurant at the Wynn Las Vegas known for its lakefront views and fine dining experience.
  • C. Lakeside
    Lakeside is a suburban community in Henrico County, Virginia, known for its residential neighborhoods and proximity to the city of Richmond.
  • D. Lakeside
    Lakeside is a major retail and leisure destination in Essex, England, known for its large shopping centre and surrounding entertainment complex.
  • E. Lakeside
    Lakeside is a residential neighborhood in the city of Wakefield, Massachusetts, known for its proximity to the town’s lakes and local amenities.
  • 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: Ligerz lakefront
Triple: [Ligerz railway station, adjacentTo, Ligerz lakefront]
Generated description
Ligerz lakefront is a scenic shoreline area on Lake Biel in Switzerland, known for its picturesque views, vineyards, and lakeside promenade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ligerz lakefront
Target entity description: Ligerz lakefront is a scenic shoreline area on Lake Biel in Switzerland, known for its picturesque views, vineyards, and lakeside promenade.
  • A. Rio Lakefront
    Rio Lakefront is a mixed-use waterfront shopping, dining, and entertainment destination in Gaithersburg, Maryland.
  • 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 an upscale seafood restaurant at the Wynn Las Vegas known for its lakefront views and fine dining experience.
  • D. Lakeside
    Lakeside is a residential neighborhood in the city of Wakefield, Massachusetts, known for its proximity to the town’s lakes and local amenities.
  • E. Lakeside
    Lakeside is a major retail and leisure destination in Essex, England, known for its large shopping centre and surrounding entertainment complex.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfddf38819099263b8b1e804736 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb5af708190b3786da334c3bf23 completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64ce1b0ec8190bcbd245255e548b5 completed May 2, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f64da735f48190b051ce173c13e5b2 completed May 2, 2026, 7:16 p.m.
Created at: April 8, 2026, 9:57 p.m.