Triple

T17406125
Position Surface form Disambiguated ID Type / Status
Subject Ornavasso E423217 entity
Predicate locatedNear P294 FINISHED
Object Mergozzo 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: Mergozzo | Statement: [Ornavasso, locatedNear, Mergozzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mergozzo
Context triple: [Ornavasso, locatedNear, Mergozzo]
  • A. Mergozzo chosen
    Mergozzo is a small Italian lakeside town in the Piedmont region, known for its scenic Lake Mergozzo and proximity to the Alps.
  • B. Sorengo
    Sorengo is a small municipality in the canton of Ticino in southern Switzerland, located near Lugano.
  • C. Losone
    Losone is a municipality in the canton of Ticino in southern Switzerland, located near Lake Maggiore in the Italian-speaking region.
  • D. Bellinzona
    Bellinzona is a historic Swiss city in the canton of Ticino, renowned for its three medieval castles that form a UNESCO World Heritage Site.
  • E. Possagno
    Possagno is a small town in the Veneto region of northern Italy, best known as the birthplace of the renowned Neoclassical sculptor Antonio Canova.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b0750688190bb123634d7c7273e completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:45 a.m.