Triple

T16057860
Position Surface form Disambiguated ID Type / Status
Subject Maroggia E389528 entity
Predicate borders P224 FINISHED
Object Arogno E392278 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: Arogno | Statement: [Maroggia, borders, Arogno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arogno
Context triple: [Maroggia, borders, Arogno]
  • A. Arogno chosen
    Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
  • B. Nigoglia
    Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
  • C. Zogno
    Zogno is a municipality in northern Italy situated in the Lombardy region’s Bergamo area, known for its location in the Brembana Valley and its surrounding Alpine foothills.
  • D. Tognana
    Tognana is a frazione (hamlet) of the municipality of Piove di Sacco in the Veneto region of northern Italy.
  • E. Quargnento
    Quargnento is a small Italian town in the Piedmont region, known as the birthplace of the Futurist painter Carlo Carrà.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837634248190a99cc454ad1e99e0 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe678fc8190b36737a9cd29691c completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:57 a.m.