Triple

T1525922
Position Surface form Disambiguated ID Type / Status
Subject Crystal Award E32335 entity
Predicate ceremonyLocation P128 FINISHED
Object Davos, Switzerland E34734 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: Davos, Switzerland | Statement: [Crystal Award, ceremonyLocation, Davos, Switzerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davos, Switzerland
Context triple: [Crystal Award, ceremonyLocation, Davos, Switzerland]
  • A. Davos chosen
    Davos is a Swiss Alpine town best known internationally as the host of the World Economic Forum’s annual gathering of global political, business, and cultural leaders.
  • B. Lausanne, Switzerland
    Lausanne, Switzerland is a picturesque city on the shores of Lake Geneva known for its role as an Olympic capital and its vibrant cultural and academic life.
  • C. Bern, Switzerland
    Bern, Switzerland is the de facto capital of Switzerland, known for its well-preserved medieval old town, political institutions, and cultural heritage.
  • D. Geneva
    Geneva is a major Swiss city on Lake Geneva known for hosting numerous international organizations, including United Nations agencies and the Red Cross.
  • E. St. Moritz
    St. Moritz is a famous Swiss alpine resort town renowned for its luxury tourism, winter sports, and role as a two-time Winter Olympics host.
  • 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_69a885e9b0ac819093a9806ad0efc82c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61f7bb60819094774ecc632255de completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad2953c5308190984d20f62b7303fd completed March 8, 2026, 7:46 a.m.
Created at: March 4, 2026, 7:26 p.m.