Triple

T7915904
Position Surface form Disambiguated ID Type / Status
Subject canton of Nidwalden E183826 entity
Predicate capital P234 FINISHED
Object Stans
Stans is a historic Swiss town in central Switzerland, known as the capital of the canton of Nidwalden and for its picturesque Alpine setting.
E696918 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: Stans | Statement: [canton of Nidwalden, capital, Stans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stans
Context triple: [canton of Nidwalden, capital, Stans]
  • A. Stans
    Stans is a surname most notably associated with Maurice Stans, a U.S. Secretary of Commerce and key figure in the Nixon administration and Watergate scandal.
  • B. Sten
    Sten is a Scandinavian male given name of Old Norse origin, commonly associated with Sweden and meaning "stone."
  • C. Stod
    Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
  • D. Stanis
    Stanis is the surname of BernNadette Stanis, an American actress best known for her role as Thelma Evans on the 1970s sitcom "Good Times."
  • E. Stan the Man
    Stan the Man is the famous nickname of Stan Musial, the Hall of Fame St. Louis Cardinals outfielder and first baseman regarded as one of Major League Baseball’s greatest hitters.
  • 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: Stans
Triple: [canton of Nidwalden, capital, Stans]
Generated description
Stans is a historic Swiss town in central Switzerland, known as the capital of the canton of Nidwalden and for its picturesque Alpine setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stans
Target entity description: Stans is a historic Swiss town in central Switzerland, known as the capital of the canton of Nidwalden and for its picturesque Alpine setting.
  • A. Stans
    Stans is a surname most notably associated with Maurice Stans, a U.S. Secretary of Commerce and key figure in the Nixon administration and Watergate scandal.
  • B. Sten
    Sten is a Scandinavian male given name of Old Norse origin, commonly associated with Sweden and meaning "stone."
  • C. Stod
    Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
  • D. Stanis
    Stanis is the surname of BernNadette Stanis, an American actress best known for her role as Thelma Evans on the 1970s sitcom "Good Times."
  • E. Stan the Man
    Stan the Man is the famous nickname of Stan Musial, the Hall of Fame St. Louis Cardinals outfielder and first baseman regarded as one of Major League Baseball’s greatest hitters.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a76ae688190b068e4c92603a16d completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5be54fdc81909a988114a6f30a13 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f20eb3c81909e059d5a02263aa2 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76bb9a308190a9d7b34838d696db completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:05 p.m.