Triple

T20917014
Position Surface form Disambiguated ID Type / Status
Subject S-chanf E515097 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Livigno 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: Livigno | Statement: [S-chanf, neighboringMunicipality, Livigno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Livigno
Context triple: [S-chanf, neighboringMunicipality, 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. Bodio
    Bodio is a municipality in the Swiss canton of Ticino, known as one of the southern portal towns of the Gotthard rail tunnels.
  • D. Ornavasso
    Ornavasso is a town in northern Italy notable for its rich archaeological remains linked to the ancient Lepontic Celtic culture.
  • E. 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.
  • 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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec635f4881909a560fb891100d8c completed April 21, 2026, 3:17 a.m.
Created at: April 16, 2026, 12:48 p.m.