Triple

T20879
Position Surface form Disambiguated ID Type / Status
Subject Geneva E414 entity
Predicate locatedIn P40 FINISHED
Object Western Switzerland E2947 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: Western Switzerland | Statement: [Geneva, locatedIn, Western Switzerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Western Switzerland
Context triple: [Geneva, locatedIn, Western Switzerland]
  • A. canton of Geneva
    The canton of Geneva is the westernmost Swiss canton, encompassing the city of Geneva and serving as a major international, diplomatic, and financial hub.
  • B. Switzerland
    Switzerland is a landlocked Central European country known for its long-standing neutrality, mountainous landscapes, financial centers, and multilingual, federal political system.
  • C. Romandy chosen
    Romandy is the French-speaking western region of Switzerland, encompassing cantons such as Geneva, Vaud, Neuchâtel, and Jura.
  • D. Alps region
    The Alps region is a major European mountainous area spanning several countries, known for its high peaks, ski resorts, and scenic landscapes.
  • E. France–Switzerland border
    The France–Switzerland border is an international boundary in Western Europe separating France and Switzerland, notable for crossing major transport routes and sites such as the CERN research complex near Geneva.
  • 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_69a240778d288190815c0052ebbbcc91 completed Feb. 28, 2026, 1:10 a.m.
NER Named-entity recognition batch_69a24669427481908b3369f090ea8edc completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26237c7208190ac4a1c373ff37b06 completed Feb. 28, 2026, 3:34 a.m.
Created at: Feb. 28, 2026, 1:14 a.m.