Triple

T1442723
Position Surface form Disambiguated ID Type / Status
Subject Domenico Trezzini E31109 entity
Predicate regionOfOrigin P410 FINISHED
Object Ticino E143404 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: Ticino | Statement: [Domenico Trezzini, regionOfOrigin, Ticino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ticino
Context triple: [Domenico Trezzini, regionOfOrigin, Ticino]
  • A. Ticino
    Ticino is a major river in northern Italy and Switzerland that flows through the Swiss canton of Ticino and Lombardy before joining the Po River.
  • B. Canton of Ticino chosen
    The Canton of Ticino is the Italian-speaking canton in southern Switzerland known for its Mediterranean-influenced climate, lakeside towns, and cultural ties to neighboring Italy.
  • C. Canton of Valais
    The Canton of Valais is a mountainous region in southwestern Switzerland known for its Alpine landscapes, vineyards, and major ski resorts such as Zermatt and Verbier.
  • D. canton of Graubünden
    The canton of Graubünden is a large, mountainous region in eastern Switzerland known for its Alpine landscapes, ski resorts, and multilingual culture (German, Romansh, and Italian).
  • E. Lia Rumantscha
    Lia Rumantscha is the main organization dedicated to promoting, standardizing, and preserving the Romansh language in Switzerland.
  • 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c5320728819095d9ed2439fa7d31 completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69aea82cd9748190ac82c7221455b2d5 completed March 9, 2026, 10:59 a.m.
Created at: March 1, 2026, 8 p.m.