Triple

T6749968
Position Surface form Disambiguated ID Type / Status
Subject Swiss Federal Institute for Forest, Snow and Landscape Research E154317 entity
Predicate nativeName P15 FINISHED
Object Istituto federale di ricerca per la foresta, la neve e il paesaggio E154317 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: Istituto federale di ricerca per la foresta, la neve e il paesaggio | Statement: [Swiss Federal Institute for Forest, Snow and Landscape Research, nativeName, Istituto federale di ricerca per la foresta, la neve e il paesaggio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Istituto federale di ricerca per la foresta, la neve e il paesaggio
Context triple: [Swiss Federal Institute for Forest, Snow and Landscape Research, nativeName, Istituto federale di ricerca per la foresta, la neve e il paesaggio]
  • A. Swiss Federal Institute for Forest, Snow and Landscape Research chosen
    The Swiss Federal Institute for Forest, Snow and Landscape Research is a Swiss research institution specializing in forests, natural hazards, snow and ice, and landscape management and conservation.
  • B. Forest Research Institute
    Forest Research Institute is a premier Indian institution in Dehradun dedicated to forestry research, education, and training.
  • C. Institut national de l’information géographique et forestière
    The Institut national de l’information géographique et forestière (IGN) is France’s national public agency responsible for producing and managing official geographic, cartographic, and forest-related information.
  • D. World Forestry Center
    The World Forestry Center is a nonprofit museum and educational institution in Portland, Oregon, dedicated to global forestry, conservation, and sustainable management of forest resources.
  • E. Faculty of Forest Sciences and Forest Ecology
    The Faculty of Forest Sciences and Forest Ecology is an academic division of the University of Göttingen specializing in forestry, ecosystem research, and sustainable management of forest resources.
  • 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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1da32108190882949aa329d2b60 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712a793cc8190b838806151851711 completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:11 p.m.