Triple

T16448463
Position Surface form Disambiguated ID Type / Status
Subject Bormio E399491 entity
Predicate near P350 FINISHED
Object Livigno E838361 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: Livigno | Statement: [Bormio, near, Livigno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Livigno
Context triple: [Bormio, near, Livigno]
  • A. Livigno chosen
    Livigno is an Italian alpine town near the Swiss border, known for its ski resorts, high-altitude landscapes, and duty-free shopping status.
  • B. Menaggio
    Menaggio is a picturesque resort town in northern Italy known for its scenic location on the western shore of Lake Como and its historic lakeside promenade.
  • C. Ornavasso
    Ornavasso is a town in northern Italy notable for its rich archaeological remains linked to the ancient Lepontic Celtic culture.
  • D. Ascona
    Ascona is a picturesque resort town on the shores of Lake Maggiore in the Swiss canton of Ticino, known for its mild climate, lakeside promenade, and vibrant cultural scene.
  • 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 (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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdee44c8190ae0df20c58ff7558 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f4b738881908f8a205466397f33 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.