Triple

T7915920
Position Surface form Disambiguated ID Type / Status
Subject canton of Nidwalden E183826 entity
Predicate hasMunicipality P847 FINISHED
Object Stansstad
Stansstad is a lakeside municipality in central Switzerland, situated on the shores of Lake Lucerne and known for its scenic setting and proximity to the Alps.
 E696920 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: Stansstad | Statement: [canton of Nidwalden, hasMunicipality, Stansstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stansstad
Context triple: [canton of Nidwalden, hasMunicipality, Stansstad]
  • A. Ballstad
    Ballstad is a fishing village in Norway’s Lofoten archipelago, known for its scenic coastal landscape and traditional maritime culture.
  • B. Staaken
    Staaken is a locality in western Berlin, Germany, known for its residential areas and historical role as part of the Spandau district near the former inner-German border.
  • C. Gangstad
    Gangstad is a small settlement located within the municipality of Inderøy in Trøndelag county, Norway.
  • D. Stad
    Stad is a coastal municipality and peninsula in Vestland county, Norway, known for its exposed headland and hazardous maritime waters.
  • E. Kristinestad
    Kristinestad is a small coastal town in western Finland known for its well-preserved wooden old town and historic maritime character.
  • 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: Stansstad
Triple: [canton of Nidwalden, hasMunicipality, Stansstad]
Generated description
Stansstad is a lakeside municipality in central Switzerland, situated on the shores of Lake Lucerne and known for its scenic setting and proximity to the Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stansstad
Target entity description: Stansstad is a lakeside municipality in central Switzerland, situated on the shores of Lake Lucerne and known for its scenic setting and proximity to the Alps.
  • A. Ballstad
    Ballstad is a fishing village in Norway’s Lofoten archipelago, known for its scenic coastal landscape and traditional maritime culture.
  • B. Staaken
    Staaken is a locality in western Berlin, Germany, known for its residential areas and historical role as part of the Spandau district near the former inner-German border.
  • C. Gangstad
    Gangstad is a small settlement located within the municipality of Inderøy in Trøndelag county, Norway.
  • D. Stad
    Stad is a coastal municipality and peninsula in Vestland county, Norway, known for its exposed headland and hazardous maritime waters.
  • E. Kristinestad
    Kristinestad is a small coastal town in western Finland known for its well-preserved wooden old town and historic maritime character.
  • 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.