Triple

T2359510
Position Surface form Disambiguated ID Type / Status
Subject Mario Frick E47237 entity
Predicate workLocation P7 FINISHED
Object Vaduz E110866 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: Vaduz | Statement: [Mario Frick, workLocation, Vaduz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaduz
Context triple: [Mario Frick, workLocation, Vaduz]
  • A. Vaduz chosen
    Vaduz is the small alpine town that serves as the political and cultural center of the Principality of Liechtenstein.
  • B. Bregenz
    Bregenz is an Austrian city on the eastern shore of Lake Constance, known for its lakeside setting, cultural festivals, and contemporary art and architecture.
  • C. Olten
    Olten is a town in the canton of Solothurn in northwestern Switzerland, known as an important railway junction and regional economic center.
  • D. Liestal
    Liestal is a historic Swiss town in northwestern Switzerland that serves as the administrative and cultural center of the canton of Basel-Landschaft.
  • E. Lugano
    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.
  • 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc720b9048190a5d3b19e5e1f373a completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae963b84f08190b3ca60db98dd8745 completed March 9, 2026, 9:43 a.m.
Created at: March 4, 2026, 7:55 p.m.