Triple

T2046178
Position Surface form Disambiguated ID Type / Status
Subject Assembly Hall E45456 entity
Predicate near P350 FINISHED
Object Lake Geneva E8337 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 Geneva | Statement: [Assembly Hall, near, Lake Geneva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Geneva
Context triple: [Assembly Hall, near, Lake Geneva]
  • A. Lake Geneva chosen
    Lake Geneva is a large crescent-shaped lake on the north side of the Alps, shared by Switzerland and France and renowned for its scenic beauty and surrounding cities like Geneva and Lausanne.
  • B. Lake Lucerne
    Lake Lucerne is a picturesque, fjord-like lake in central Switzerland, renowned for its dramatic mountain scenery, historic sites, and role as a major tourist destination.
  • C. 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.
  • D. Lake Maggiore
    Lake Maggiore is a large glacial lake in the Italian Alps renowned for its scenic beauty, mild climate, and historic lakeside towns and islands.
  • E. Lake Zurich
    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.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb973a51881908c2c1e633daa3cb4 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6ae88ad08190a0a638cad2566f2e completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:39 p.m.