Triple

T3948181
Position Surface form Disambiguated ID Type / Status
Subject Lake Lugano E84796 entity
Predicate adjacentTown P3883 FINISHED
Object Morcote E88079 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: Morcote | Statement: [Lake Lugano, adjacentTown, Morcote]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morcote
Context triple: [Lake Lugano, adjacentTown, Morcote]
  • A. Morcote chosen
    Morcote is a picturesque lakeside village and former fishing community on the shores of Lake Lugano in the Swiss canton of Ticino, known for its historic architecture and scenic hillside setting.
  • B. Zoncolan
    Zoncolan is a notoriously steep mountain in the Italian Alps, famous as one of the toughest climbs in professional road cycling.
  • C. Pizzo
    Pizzo is a coastal town in the Calabria region of southern Italy, historically noted as the site of Joachim Murat’s execution in 1815.
  • D. Lomazzo
    Lomazzo is a town in northern Italy’s Lombardy region, situated between Como and Milan and known for its residential character and local industry.
  • E. Corsier
    Corsier is a small municipality in the canton of Geneva, Switzerland, situated on the left bank of Lake Geneva in a largely residential and semi-rural area.
  • 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_69aed934fbfc8190847068e4546de963 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef90f97188190875165e1b5f699e0 completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5339feb4c8190ad96a5680cb5294e completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:30 p.m.