Triple

T16652892
Position Surface form Disambiguated ID Type / Status
Subject Silvaplana E404651 entity
Predicate hasSettlement P1068 FINISHED
Object Champfèr
Champfèr is a small alpine village in the Upper Engadine region of the Swiss canton of Graubünden, known for its scenic lakeside setting near St. Moritz.
E1228963 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: Champfèr | Statement: [Silvaplana, hasSettlement, Champfèr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Champfèr
Context triple: [Silvaplana, hasSettlement, Champfèr]
  • A. Champtercier
    Champtercier is a small commune in southeastern France, known as the birthplace of the 17th-century philosopher and scientist Pierre Gassendi.
  • B. Livarchamps
    Livarchamps is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • C. Chamrousse
    Chamrousse is a French alpine ski resort and mountain commune in the Alps, known for its winter sports facilities and scenic high-altitude landscapes.
  • D. Montcherand
    Montcherand is a small Swiss municipality in the canton of Vaud, situated in the Jura-Nord vaudois region.
  • E. Garmes
    Garmes is a surname most notably associated with Lee Garmes, an influential American cinematographer of Hollywood’s classic era.
  • 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: Champfèr
Triple: [Silvaplana, hasSettlement, Champfèr]
Generated description
Champfèr is a small alpine village in the Upper Engadine region of the Swiss canton of Graubünden, known for its scenic lakeside setting near St. Moritz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Champfèr
Target entity description: Champfèr is a small alpine village in the Upper Engadine region of the Swiss canton of Graubünden, known for its scenic lakeside setting near St. Moritz.
  • A. Champtercier
    Champtercier is a small commune in southeastern France, known as the birthplace of the 17th-century philosopher and scientist Pierre Gassendi.
  • B. Livarchamps
    Livarchamps is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • C. Chamrousse
    Chamrousse is a French alpine ski resort and mountain commune in the Alps, known for its winter sports facilities and scenic high-altitude landscapes.
  • D. Montcherand
    Montcherand is a small Swiss municipality in the canton of Vaud, situated in the Jura-Nord vaudois region.
  • E. Garmes
    Garmes is a surname most notably associated with Lee Garmes, an influential American cinematographer of Hollywood’s classic era.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bf861348190b2b0b5574d4ddb4f completed April 18, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00918e61ac8190a01baf353a6a745c completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a00928ccdb48190a679e0c7ed41904d completed May 10, 2026, 2:13 p.m.
NED2 Entity disambiguation (via description) batch_6a009327cdec819090636ed180ae1de0 completed May 10, 2026, 2:16 p.m.
Created at: April 10, 2026, 5:18 a.m.