Triple

T5011435
Position Surface form Disambiguated ID Type / Status
Subject Grauspitz E112629 entity
Predicate mountainRange P648 FINISHED
Object Rätikon E486349 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: Rätikon | Statement: [Grauspitz, mountainRange, Rätikon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rätikon
Context triple: [Grauspitz, mountainRange, 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. Seebruck
    Seebruck is a Bavarian lakeside village and popular holiday resort on the northern shore of Lake Chiemsee in southern Germany.
  • E. Kleine Brenz
    Kleine Brenz is a small river in southern Germany that serves as a tributary of the Brenz.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd730d70ac8190a1818d628e95ab04 completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c5b09688190a0bc602396042e3f completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:35 p.m.