Triple

T8978734
Position Surface form Disambiguated ID Type / Status
Subject Küsnacht, Zürich, Switzerland E214465 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Maur
Maur is a municipality in the canton of Zürich in Switzerland, located on the northeastern shore of Lake Greifen and known for its residential character and natural surroundings.
 E769971 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: Maur | Statement: [Küsnacht, Zürich, Switzerland, neighboringMunicipality, Maur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maur
Context triple: [Küsnacht, Zürich, Switzerland, neighboringMunicipality, Maur]
  • A. Maurin
    Maurin is a French surname most notably associated with Peter Maurin, the co-founder of the Catholic Worker Movement.
  • B. Mau
    Mau is a city in the Purvanchal region of eastern Uttar Pradesh, India, known for its textile and power-loom industry.
  • C. Murroes
    Murroes is a small rural village in eastern Scotland, situated within the historic county of Angus near the city of Dundee.
  • D. Moissat
    Moissat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
  • E. Marrar
    Marrar is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural community and country lifestyle.
  • 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: Maur
Triple: [Küsnacht, Zürich, Switzerland, neighboringMunicipality, Maur]
Generated description
Maur is a municipality in the canton of Zürich in Switzerland, located on the northeastern shore of Lake Greifen and known for its residential character and natural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maur
Target entity description: Maur is a municipality in the canton of Zürich in Switzerland, located on the northeastern shore of Lake Greifen and known for its residential character and natural surroundings.
  • A. Maurin
    Maurin is a French surname most notably associated with Peter Maurin, the co-founder of the Catholic Worker Movement.
  • B. Mau
    Mau is a city in the Purvanchal region of eastern Uttar Pradesh, India, known for its textile and power-loom industry.
  • C. Murroes
    Murroes is a small rural village in eastern Scotland, situated within the historic county of Angus near the city of Dundee.
  • D. Moissat
    Moissat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
  • E. Marrar
    Marrar is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural community and country lifestyle.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a4b3e88190b778a9b5589cab6d completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc9719f5c8190bc22c3c7375b54f7 completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfcb07ee80819098f9df620e0b82c2 completed April 3, 2026, 2:13 p.m.
NED2 Entity disambiguation (via description) batch_69cfcb6787b8819084ff84b7f1186e90 completed April 3, 2026, 2:15 p.m.
Created at: March 30, 2026, 7:03 p.m.