Triple

T20998020
Position Surface form Disambiguated ID Type / Status
Subject Avisio River E517200 entity
Predicate flowsThrough P225 FINISHED
Object Val di Fiemme E614075 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: Val di Fiemme | Statement: [Avisio River, flowsThrough, Val di Fiemme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Val di Fiemme
Context triple: [Avisio River, flowsThrough, Val di Fiemme]
  • A. Val di Fiemme chosen
    Val di Fiemme is an alpine valley in northeastern Italy renowned for its ski resorts, cross-country skiing events, and scenic landscapes within the Dolomites.
  • B. Val di Non
    Val di Non is a valley in northern Italy’s Trentino region, renowned for its apple orchards, scenic alpine landscapes, and historic castles.
  • C. Val di Fassa
    Val di Fassa is a renowned valley in the Dolomites of northern Italy, famous for its alpine scenery, ski resorts, and hiking opportunities.
  • D. Val di Sole
    Val di Sole is a scenic valley in northern Italy renowned for its alpine landscapes, ski resorts, and outdoor activities such as hiking and rafting.
  • E. Altopiano di Lavarone
    Altopiano di Lavarone is a scenic mountain plateau in northern Italy’s Trentino region, known for its forests, lakes, and outdoor recreational activities year-round.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc22ca6081908bf054ddcfea9e19 completed April 21, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09505972c88190845e9a7a4cbace0e completed May 17, 2026, 5:21 a.m.
Created at: April 16, 2026, 1:51 p.m.