Triple

T3356662
Position Surface form Disambiguated ID Type / Status
Subject Lake Zurich E70620 entity
Predicate hasShorelineSettlement P969 FINISHED
Object Meilen
Meilen is a municipality in the canton of Zurich, Switzerland, situated on the northern shore of Lake Zurich and known as part of the region’s affluent “Gold Coast.”
 E350843 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: Meilen | Statement: [Lake Zurich, hasShorelineSettlement, Meilen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Meilen
Context triple: [Lake Zurich, hasShorelineSettlement, Meilen]
  • A. Milles
    Milles is a surname and variant of "Mills" that appears in English-speaking contexts.
  • B. Mille
    Mille is a French surname most notably borne by individuals such as Stéphane Mille.
  • C. Kile
    Kile is a KDE-based integrated LaTeX editor that provides tools for writing, compiling, and previewing LaTeX documents efficiently.
  • D. Menstrie
    Menstrie is a small village in central Scotland, situated at the foot of the Ochil Hills in Clackmannanshire.
  • E. Mechelin
    Mechelin is a Finnish surname most notably associated with Leo Mechelin, a prominent 19th-century liberal politician and statesman.
  • 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: Meilen
Triple: [Lake Zurich, hasShorelineSettlement, Meilen]
Generated description
Meilen is a municipality in the canton of Zurich, Switzerland, situated on the northern shore of Lake Zurich and known as part of the region’s affluent “Gold Coast.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Meilen
Target entity description: Meilen is a municipality in the canton of Zurich, Switzerland, situated on the northern shore of Lake Zurich and known as part of the region’s affluent “Gold Coast.”
  • A. Milles
    Milles is a surname and variant of "Mills" that appears in English-speaking contexts.
  • B. Mille
    Mille is a French surname most notably borne by individuals such as Stéphane Mille.
  • C. Kile
    Kile is a KDE-based integrated LaTeX editor that provides tools for writing, compiling, and previewing LaTeX documents efficiently.
  • D. Menstrie
    Menstrie is a small village in central Scotland, situated at the foot of the Ochil Hills in Clackmannanshire.
  • E. Mechelin
    Mechelin is a Finnish surname most notably associated with Leo Mechelin, a prominent 19th-century liberal politician and statesman.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb242d4988190bbac993df587936d completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3253b03e8819082a5bf5bd5c5d5cb completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b325ffdef081909b9665468f305336 completed March 12, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_69b32714d57c8190a59619dfab19656f completed March 12, 2026, 8:50 p.m.
Created at: March 8, 2026, 3:13 p.m.