Triple

T19799473
Position Surface form Disambiguated ID Type / Status
Subject Luino E475631 entity
Predicate railConnectionTo P13914 FINISHED
Object Gallarate 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: Gallarate | Statement: [Luino, railConnectionTo, Gallarate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gallarate
Context triple: [Luino, railConnectionTo, Gallarate]
  • A. Gallarate chosen
    Gallarate is a town in the Lombardy region of northern Italy, situated in the province of Varese and forming part of the greater Milan metropolitan area.
  • B. Golasecca
    Golasecca is a town in northern Italy known for giving its name to the Iron Age Golasecca culture discovered in the surrounding area.
  • C. Grosio
    Grosio is a municipality in the Valtellina valley of Lombardy, northern Italy, known for its Alpine setting and proximity to major mountain passes.
  • D. Vercellana
    Vercellana is an Italian surname most notably associated with Rosa Vercellana, the morganatic wife of King Victor Emmanuel II of Italy.
  • E. Gavardo
    Gavardo is a town in the Lombardy region of northern Italy, situated near Lake Garda and serving as a local commercial and administrative center.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c930a08190a2263db7170edd71 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.