Triple

T7915922
Position Surface form Disambiguated ID Type / Status
Subject canton of Nidwalden E183826 entity
Predicate hasMunicipality P847 FINISHED
Object Emmetten
Emmetten is a Swiss mountain village and municipality known for its scenic location above Lake Lucerne in the canton of Nidwalden.
 E696922 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: Emmetten | Statement: [canton of Nidwalden, hasMunicipality, Emmetten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Emmetten
Context triple: [canton of Nidwalden, hasMunicipality, Emmetten]
  • A. Emme
    Emme is a river in Switzerland that flows through the canton of Bern and is a tributary of the Aare.
  • B. Polkemmet
    Polkemmet is a locality in Scotland best known for the former Polkemmet Country Park and its historic estate grounds.
  • C. Delle
    Delle is a small commune in northeastern France near the Swiss border, known as a local administrative and economic center in the Territoire de Belfort department.
  • D. Runnemede
    Runnemede is a small suburban borough in southern New Jersey, located within the Philadelphia metropolitan area.
  • E. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • 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: Emmetten
Triple: [canton of Nidwalden, hasMunicipality, Emmetten]
Generated description
Emmetten is a Swiss mountain village and municipality known for its scenic location above Lake Lucerne in the canton of Nidwalden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Emmetten
Target entity description: Emmetten is a Swiss mountain village and municipality known for its scenic location above Lake Lucerne in the canton of Nidwalden.
  • A. Emme
    Emme is a river in Switzerland that flows through the canton of Bern and is a tributary of the Aare.
  • B. Polkemmet
    Polkemmet is a locality in Scotland best known for the former Polkemmet Country Park and its historic estate grounds.
  • C. Delle
    Delle is a small commune in northeastern France near the Swiss border, known as a local administrative and economic center in the Territoire de Belfort department.
  • D. Runnemede
    Runnemede is a small suburban borough in southern New Jersey, located within the Philadelphia metropolitan area.
  • E. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • 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.