Triple

T19441020
Position Surface form Disambiguated ID Type / Status
Subject Schesaplana E486349 entity
Predicate locatedIn P40 FINISHED
Object Rätikon NE NERFINISHED

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: Rätikon | Statement: [Schesaplana, locatedIn, Rätikon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rätikon
Context triple: [Schesaplana, locatedIn, Rätikon]
  • A. Rätikon chosen
    Rätikon is a mountain range in the Central Eastern Alps, spanning parts of Switzerland, Liechtenstein, and Austria, known for its rugged limestone peaks and popular hiking and climbing routes.
  • B. Rossikon
    Rossikon is the Russian Orthodox St. Panteleimon Monastery on Mount Athos, historically associated with Russian monasticism and pilgrimage.
  • C. Arogno
    Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
  • D. Bergharen
    Bergharen is a village in the Dutch province of Gelderland, known for its historic church and rural surroundings.
  • E. Quargnento
    Quargnento is a small Italian town in the Piedmont region, known as the birthplace of the Futurist painter Carlo Carrà.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63364371081908e899c2a47af4e5d completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:38 p.m.