Triple

T17946719
Position Surface form Disambiguated ID Type / Status
Subject Maja Einstein E448720 entity
Predicate placeOfResidence P75 FINISHED
Object Lugano 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: Lugano | Statement: [Maja Einstein, placeOfResidence, Lugano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lugano
Context triple: [Maja Einstein, placeOfResidence, Lugano]
  • A. Lugano chosen
    Lugano is a picturesque Swiss city in the Italian-speaking canton of Ticino, known for its lakeside setting on Lake Lugano, surrounding mountains, and role as a regional financial and cultural center.
  • B. Chur
    Chur is the oldest town in Switzerland and the capital of the canton of Graubünden, known for its historic old town and role as a gateway to the Alps.
  • C. Chiasso
    Chiasso is a Swiss border town in the canton of Ticino, known as an important rail and road transit point between Switzerland and Italy.
  • D. Olten
    Olten is a town in the canton of Solothurn in northwestern Switzerland, known as an important railway junction and regional economic center.
  • E. Montreux
    Montreux is a picturesque resort town in southwestern Switzerland, renowned for its lakeside promenade, mild microclimate, and the annual Montreux Jazz Festival.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad99df408190a8a4e3d21c03fe71 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.