Triple

T14157342
Position Surface form Disambiguated ID Type / Status
Subject Stäfa E350846 entity
Predicate locatedOn P40 FINISHED
Object Lake Zürich E70620 NE FINISHED

How this triple was built (2 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: Lake Zürich | Statement: [Stäfa, locatedOn, Lake Zürich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Zürich
Context triple: [Stäfa, locatedOn, Lake Zürich]
  • A. Lake Zurich chosen
    Lake Zurich is a picturesque glacial lake in Switzerland, bordered by the city of Zurich and known for its recreational activities, scenic promenades, and surrounding alpine landscapes.
  • B. Immensee
    Immensee is a picturesque lakeside village in the Swiss canton of Schwyz, known for its scenic setting on the shores of Lake Zug.
  • C. Vierwaldstättersee
    Vierwaldstättersee is a picturesque lake in central Switzerland, surrounded by mountains and historic towns, and is a major natural and tourist landmark of the region.
  • D. Lake Neuchâtel
    Lake Neuchâtel is the largest lake entirely within Switzerland, located in the French-speaking western part of the country and known for its scenic shores and surrounding vineyards.
  • E. Lake Sarnen
    Lake Sarnen is a scenic alpine lake in the canton of Obwalden in central Switzerland, known for its clear waters and surrounding mountain landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61377de48190a3470d28f0edd34a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b38823881909c9df93371782b47 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 12:58 a.m.