Triple

T7875629
Position Surface form Disambiguated ID Type / Status
Subject Prättigau/Davos Region E182843 entity
Predicate hasMunicipality P847 FINISHED
Object Grüsch
Grüsch is a Swiss municipality in the canton of Graubünden, situated in the alpine Prättigau valley and known as a gateway to nearby mountain and ski areas.
E701547 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: Grüsch | Statement: [Prättigau/Davos Region, hasMunicipality, Grüsch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grüsch
Context triple: [Prättigau/Davos Region, hasMunicipality, Grüsch]
  • A. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • B. Grieben
    Grieben is a small village located on the Baltic Sea island of Hiddensee in Germany, known for its tranquil, car-free environment and traditional thatched-roof houses.
  • C. Grüneberg
    Grüneberg is a locality in Germany historically known as the site of the Battle of Grüneberg.
  • D. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • E. Garbitsch
    Garbitsch is the sinister, Goebbels-like propaganda minister in Charlie Chaplin’s 1940 satirical film "The Great Dictator," played by actor Henry Daniell.
  • 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: Grüsch
Triple: [Prättigau/Davos Region, hasMunicipality, Grüsch]
Generated description
Grüsch is a Swiss municipality in the canton of Graubünden, situated in the alpine Prättigau valley and known as a gateway to nearby mountain and ski areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grüsch
Target entity description: Grüsch is a Swiss municipality in the canton of Graubünden, situated in the alpine Prättigau valley and known as a gateway to nearby mountain and ski areas.
  • A. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • B. Grieben
    Grieben is a small village located on the Baltic Sea island of Hiddensee in Germany, known for its tranquil, car-free environment and traditional thatched-roof houses.
  • C. Grüneberg
    Grüneberg is a locality in Germany historically known as the site of the Battle of Grüneberg.
  • D. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • E. Garbitsch
    Garbitsch is the sinister, Goebbels-like propaganda minister in Charlie Chaplin’s 1940 satirical film "The Great Dictator," played by actor Henry Daniell.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39aa7ca88190b88a18f6a8971e51 completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b79705c8190955e128081048ebe completed March 31, 2026, 5:28 a.m.
NEDg Description generation batch_69cb7630b8908190a0b8f4856bceea0a completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbbfb894588190971ade076acdbd5c completed March 31, 2026, 12:36 p.m.
Created at: March 30, 2026, 4:57 p.m.